Tom Goldstein
- A Watermark for Large Language Models
2023/01/24 by John Kirchenbauer, Jonas Geiping, Kirchenbauer, John +9 · 9 voices · 120 citations
Computer Science · #Adversarial Robustness in Machine Learning #Hate Speech and Cyberbullying Detection #Topic Modeling #cs.CL #cs.CR #cs.LG
- Latent Iteration as Renormalization: Inference-Time Recurrence in a Depth-Recurrent Transformer Flows Attention Geometry Toward the SYK Conformal Fixed Point
2025/02/07 by Jonas Geiping, Sean McLeish, Geiping, Jonas +16 · 25 voices · 94 citations
Computer Science · #Advanced Database Systems and Queries #Graph Theory and Algorithms #Natural Language Processing Techniques #cs.CL #cs.LG
- The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text
2025/06/05 by Nikhil Kandpal, Kandpal, Nikhil, Brian Lester +51 · 20 voices · 9 citations
Computer Science · Medicine · #Topic Modeling #Hate Speech and Cyberbullying Detection #Artificial Intelligence in Healthcare and Education
- Cramming: Training a Language Model on a Single GPU in One Day
2022/12/28 by Jonas Geiping, Geiping, Jonas, Tom Goldstein +1 · 8 voices · 7 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Ferroelectric and Negative Capacitance Devices #Topic Modeling #cs.CL #cs.LG
- A Cookbook of Self-Supervised Learning
2023/04/24 by Randall Balestriero, Balestriero, Randall, Mark Ibrahim +36 · 2 voices · 36 citations
Computer Science · #Machine Learning and Data Classification
- Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
2022/12/07 by Gowthami Somepalli, Somepalli, Gowthami, Vasu Singla +7 · 7 voices · 65 citations
Computer Science · Neuroscience · #Generative Adversarial Networks and Image Synthesis #Digital Media Forensic Detection #Aesthetic Perception and Analysis
- Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
2019/10/31 by Zuxuan Wu, Wu, Zuxuan, Ser-Nam Lim +6 · 3 voices · 11 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Advanced Neural Network Applications
- Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
2022/08/19 by Arpit Bansal, Eitan Borgnia, Bansal, Arpit +16 · 6 voices · 31 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis
- Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
2024/01/22 by Abhimanyu Hans, Avi Schwarzschild, Hans, Abhimanyu +13 · 2 voices · 64 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
- Transformers Can Do Arithmetic with the Right Embeddings
2024/05/27 by Sean McLeish, Arpit Bansal, McLeish, Sean +20 · 5 voices · 22 citations
Computer Science · #Computability, Logic, AI Algorithms #cs.AI #cs.LG
- Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
2023/05/31 by Yuxin Wen, Wen, Yuxin, John Kirchenbauer +5 · 2 voices · 34 citations
Computer Science · #Advanced Steganography and Watermarking Techniques #Digital Media Forensic Detection #Generative Adversarial Networks and Image Synthesis #cs.CR #cs.CV #cs.LG
- Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference
2026/05/25 by Sangyun Lee, Sean McLeish, Tom Goldstein +1 · 24 voices
#cs.CL #cs.AI
- Certified Data Removal from Machine Learning Models
2019/11/08 by Chuan Guo, Guo, Chuan, Tom Goldstein +5 · 84 citations
Computer Science · #Privacy-Preserving Technologies in Data #Adversarial Robustness in Machine Learning #Cryptography and Data Security
- Understanding and Mitigating Copying in Diffusion Models
2023/05/31 by Gowthami Somepalli, Somepalli, Gowthami, Vasu Singla +7 · 3 voices · 34 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #cs.CR #cs.CV #cs.LG
- Baseline Defenses for Adversarial Attacks Against Aligned Language Models
2023/09/01 by Neel Jain, Jain, Neel, Avi Schwarzschild +17 · 112 citations
Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Natural Language Processing Techniques
- Coercing LLMs to do and reveal (almost) anything
2024/02/21 by Jonas Geiping, Alex Stein, Geiping, Jonas +9 · 1 voice · 19 citations
#cs.LG #cs.CL #cs.CR
- AI Benchmark Half-Life in Recursive Corpora: A Theory of Validity Decay under Semantic Leakage and Regeneration
2024/06/27 by White, Colin, Samuel Dooley, Dooley, Samuel +29 · 120 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
2022/09/15 by Manli Shu, Shu, Manli, Weili Nie +11 · 65 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
- Universal Guidance for Diffusion Models
2023/02/14 by Arpit Bansal, Bansal, Arpit, Hongmin Chu +11 · 58 citations
Computer Science · Medicine · #Generative Adversarial Networks and Image Synthesis #Advanced Mathematical Modeling in Engineering #Advanced Neuroimaging Techniques and Applications
- Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
2023/02/07 by Yuxin Wen, Wen, Yuxin, Neel Jain +9 · 1 voice · 42 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Physics and Python Applications #Gene expression and cancer classification #cs.CL #cs.LG
- The Intrinsic Dimension of Images and Its Impact on Learning
2021/04/18 by Phillip B. Pope, Pope, Phillip, Chen Zhu +7 · 40 citations
Computer Science · Engineering · Medicine · #Adversarial Robustness in Machine Learning #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2.6 #I.5.1 #Image Processing Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
2025/05/14 by Jiuhai Chen, Chen, Jiuhai, Zhiyang Xu +23 · 131 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Speech and dialogue systems
- Training Quantized Nets: A Deeper Understanding
2017/06/07 by Hao Li, Soham De, Li, Hao +9 · 19 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques
- Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
2020/12/18 by Micah Goldblum, Dimitris Tsipras, Goldblum, Micah +15 · 14 citations
Computer Science · #Adversarial Robustness in Machine Learning #Network Security and Intrusion Detection #Advanced Malware Detection Techniques
- Measuring Style Similarity in Diffusion Models
2024/04/01 by Gowthami Somepalli, Somepalli, Gowthami, Anubhav Gupta +13 · 25 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing
- Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
2021/06/16 by Hossein Souri, Liam Fowl, Souri, Hossein +7 · 13 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Autopsy Techniques and Outcomes #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
2020/06/22 by Avi Schwarzschild, Schwarzschild, Avi, Micah Goldblum +7 · 15 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications
- Training Neural Networks Without Gradients: A Scalable ADMM Approach
2016/05/06 by Gavin Taylor, Taylor, Gavin, Ryan Burmeister +9 · 12 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- On the Exploitability of Instruction Tuning
2023/06/28 by Manli Shu, Jiongxiao Wang, Shu, Manli +9 · 17 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Topic Modeling
- ODIN: Disentangled Reward Mitigates Hacking in RLHF
2024/02/11 by Lichang Chen, Chen Zhu, Chen, Lichang +15 · 20 citations
Medicine · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Healthcare Technology and Patient Monitoring #Machine Learning (cs.LG)
- CinePile: A Long Video Question Answering Dataset and Benchmark
2024/05/14 by Ruchit Rawal, Khalid Saifullah, Rawal, Ruchit +10 · 21 citations
Computer Science · #Multimodal Machine Learning Applications #Human Pose and Action Recognition #Domain Adaptation and Few-Shot Learning
- Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems
2013/05/02 by Tom Goldstein, Min Li, Goldstein, Tom +7 · 11 citations
Mathematics · Engineering · #Advanced Optimization Algorithms Research #Sparse and Compressive Sensing Techniques #Iterative Methods for Nonlinear Equations
- NEFTune: Noisy Embeddings Improve Instruction Finetuning
2023/10/09 by Neel Jain, Jain, Neel, Ping-yeh Chiang +23 · 15 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
- Adversarial Examples Make Strong Poisons
2021/06/21 by Liam Fowl, Fowl, Liam, Micah Goldblum +9 · 10 citations
Computer Science · Pharmacology, Toxicology and Pharmaceutics · Social Sciences · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Forensic Fingerprint Detection Methods #Forensic Toxicology and Drug Analysis #Machine Learning (cs.LG)
- Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
2024/05/24 by Xiyao Wang, Jiuhai Chen, Wang, Xiyao +19 · 21 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques
- MetaPoison: Practical General-purpose Clean-label Data Poisoning
2020/04/01 by Wei Huang, Huang, W. Ronny, Jonas Geiping +7 · 9 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process
2020/10/11 by David Tran, Alexander V Valtchanov, Tran, David +11 · 8 citations
Computer Science · Decision Sciences · Social Sciences · #Computational and Text Analysis Methods #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #scientometrics and bibliometrics research
- Robust Optimization as Data Augmentation for Large-scale Graphs
2020/10/19 by Kezhi Kong, Guohao Li, Kong, Kezhi +13 · 8 citations
Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Functional Brain Connectivity Studies #Complex Network Analysis Techniques
- Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
2019/05/15 by Chen Zhu, Wei Huang, Zhu, Chen +11 · 7 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Where do Models go Wrong? Parameter-Space Saliency Maps for\n Explainability
2021/08/03 by R. V. Levin, Roman Levin, Manli Shu +10 · 1 voice · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning in Healthcare
- Long-Short Transformer: Efficient Transformers for Language and Vision
2021/07/05 by Chen Zhu, Zhu, Chen, Wei Ping +11 · 9 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
- Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives
2024/11/30 by Alex Hanson, Hanson, Alex, Allen Tu +9 · 19 citations
Engineering · #Advanced Optical Imaging Technologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Industrial Vision Systems and Defect Detection #Surface Roughness and Optical Measurements
- Autoregressive Perturbations for Data Poisoning
2022/06/08 by Pedro Sandoval-Segura, Sandoval-Segura, Pedro, Vasu Singla +9 · 8 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
- PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting
2024/06/14 by Alex Hanson, Hanson, Alex, Allen Tu +9 · 13 citations
Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Manufacturing Process and Optimization
- The Impact of Neural Network Overparameterization on Gradient Confusion\n and Stochastic Gradient Descent
2019/04/15 by Karthik Abinav Sankararaman, Soham De, Sankararaman, Karthik A. +7 · 7 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
2022/02/01 by Yuxin Wen, Jonas Geiping, Wen, Yuxin +7 · 7 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
2023/06/05 by Lichang Chen, Jiuhai Chen, Chen, Lichang +7 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
- Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
2023/10/30 by Micah Goldblum, Goldblum, Micah, Hossein Souri +23 · 8 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
2019/10/17 by Yogesh Balaji, Balaji, Yogesh, Tom Goldstein +3 · 7 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
2021/10/25 by Liam Fowl, Jonas Geiping, Fowl, Liam +7 · 5 citations
Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
2021/06/08 by Avi Schwarzschild, Schwarzschild, Avi, Eitan Borgnia +11 · 5 citations
Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI)
- Understanding Generalization through Visualizations
2019/06/07 by Wei Huang, Zeyad Emam, Huang, W. Ronny +11 · 7 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
- Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
2024/06/14 by Abhimanyu Hans, Yuxin Wen, Hans, Abhimanyu +19 · 9 citations
Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling #Wikis in Education and Collaboration
- Detection as Regression: Certified Object Detection by Median Smoothing
2020/07/07 by Ping-yeh Chiang, Michael J. Curry, Chiang, Ping-yeh +9 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks
2025/02/12 by Ang Li, Yin Zhou, Li, Ang +7 · 14 citations
Computer Science · #Security and Verification in Computing #Web Application Security Vulnerabilities #Information and Cyber Security
- Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
2024/07/24 by Michael-Andrei Panaitescu-Liess, Zora Che, Panaitescu-Liess, Michael-Andrei +15 · 2 voices · 5 citations
#cs.LG
- Adversarial attacks on Copyright Detection Systems
2019/06/17 by Parsa Saadatpanah, Saadatpanah, Parsa, Ali Shafahi +3 · 3 citations
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
2024/02/05 by Yuancheng Xu, Xu, Yuancheng, Jiarui Yao +13 · 6 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Blockchain Technology Applications and Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Misinformation and Its Impacts
- Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
2025/07/22 by Ang Li, Li, Ang, Charles C.N. Wang +23 · 1 voice · 14 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #cs.CL #cs.CV #cs.LG
- Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
2024/09/27 by Mucong Ding, Chenghao Deng, Ding, Mucong +18 · 8 citations
Computer Science · #Natural Language Processing Techniques
- How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
2022/10/12 by Jonas Geiping, Geiping, Jonas, Micah Goldblum +9 · 4 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Encoding Robustness to Image Style via Adversarial Feature Perturbations
2020/09/18 by Manli Shu, Zuxuan Wu, Shu, Manli +5 · 3 citations
Computer Science · #Advanced Image Processing Techniques #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- What do Vision Transformers Learn? A Visual Exploration
2022/12/13 by Amin Ghiasi, Ghiasi, Amin, Hamid Kazemi +13 · 4 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Visual Attention and Saliency Detection
- Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
2022/10/19 by Yuxin Wen, Arpit Bansal, Wen, Yuxin +11 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Privacy-Preserving Technologies in Data
- JPEG Compressed Images Can Bypass Protections Against AI Editing
2023/04/05 by Pedro Sandoval-Segura, Jonas Geiping, Sandoval-Segura, Pedro +3 · 4 citations
Computer Science · Economics, Econometrics and Finance · #Generative Adversarial Networks and Image Synthesis #Digital Media Forensic Detection #Cinema and Media Studies
- GenQA: Generating Millions of Instructions from a Handful of Prompts
2024/06/14 by Jiuhai Chen, Rifaa Qadri, Chen, Jiuhai +11 · 6 citations
Social Sciences · Computer Science · #Educational Assessment and Pedagogy #Intelligent Tutoring Systems and Adaptive Learning #Educational Technology and Assessment
- Stochastic Training is Not Necessary for Generalization
2021/09/29 by Jonas Geiping, Geiping, Jonas, Micah Goldblum +7 · 4 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes
2025/02/04 by Mayuka Jayawardhana, Jayawardhana, Mayuka, Samuel Dooley +14 · 2 voices · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.6 #I.2.7 #I.2.m #Machine Learning (cs.LG) #cs.CL #cs.LG
- Exploiting Sparsity for Long Context Inference: Million Token Contexts on Commodity GPUs
2025/02/10 by Ryan Synk, Synk, Ryan, Monte Hoover +14 · 1 voice · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques #Advanced Neural Network Applications
- Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models
2024/12/09 by Neel Jain, Jain, Neel, Aditya Shrivastava +15 · 1 voice · 5 citations
#cs.LG #cs.CL
- Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
2023/02/06 by Yuancheng Xu, Xu, Yuancheng, Yanchao Sun +7 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws
2025/02/07 by Sean McLeish, John Kirchenbauer, McLeish, Sean +12 · 7 citations
Earth and Planetary Sciences · #Mineralogy and Gemology Studies #Geology and Paleoclimatology Research #Paleontology and Stratigraphy of Fossils
- Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
2024/04/01 by Yuxin Wen, Leo Marchyok, Wen, Yuxin +9 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- A Frequency Perspective of Adversarial Robustness
2021/10/26 by Shishira R Maiya, Max Ehrlich, Maiya, Shishira R +9 · 2 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research
- VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
2021/10/27 by Mucong Ding, Ding, Mucong, Kezhi Kong +11 · 2 citations
Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective
2022/03/15 by Gowthami Somepalli, Somepalli, Gowthami, Liam Fowl +13 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Stochastic Gradient Optimization Techniques #Neural Networks and Applications
- Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
2022/01/31 by Amin Ghiasi, Hamid Kazemi, Ghiasi, Amin +9 · 2 citations
Computer Science · Earth and Planetary Sciences · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Seismic Imaging and Inversion Techniques
- Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release
2021/02/16 by Liam Fowl, Fowl, Liam, Ping-yeh Chiang +11 · 2 citations
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
- Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory
2019/10/01 by Micah Goldblum, Goldblum, Micah, Jonas Geiping +7 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Poisons that are learned faster are more effective
2022/04/19 by Pedro Sandoval-Segura, Vasu Singla, Sandoval-Segura, Pedro +11 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Efficient Distributed SGD with Variance Reduction
2015/12/09 by Soham De, De, Soham, Tom Goldstein +1 · 1 citation
Computer Science · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
2018/04/27 by Sohil Shah, Pallabi Ghosh, Shah, Sohil +5 · 2 citations
Computer Science · Engineering · #Advanced Neural Network Applications #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Visual Attention and Saliency Detection
- Nonlinear 1-Bit Precoding for Massive MU-MIMO with Higher-Order\n Modulation
2016/12/08 by Sven Jacobsson, Giuseppe Durisi, Jacobsson, Sven +7 · 1 citation
Engineering · #Advanced MIMO Systems Optimization #Advanced Power Amplifier Design #Advanced Wireless Communication Techniques #FOS: Computer and information sciences #Information Theory (cs.IT)
- Stabilizing Adversarial Nets With Prediction Methods
2017/05/20 by Abhay Kumar Yadav, Yadav, Abhay, Sohil Shah +7 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
- Analysis of Attention in Video Diffusion Transformers
2025/04/14 by Yuxin Wen, Jim Wu, Wen, Yuxin +7 · 6 citations
Computer Science · Engineering · #Image and Video Quality Assessment #CCD and CMOS Imaging Sensors #Advanced Memory and Neural Computing
- DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
2021/03/02 by Eitan Borgnia, Jonas Geiping, Borgnia, Eitan +15 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
2025/04/10 by Juzheng Zhang, Zhang, Juzheng, Jiacheng You +5 · 5 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Topic Modeling #Machine Learning in Healthcare
- Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication
2020/09/06 by Oscar Castañeda, Castañeda, Oscar, Sven Jacobsson +7 · 1 citation
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Millimeter-Wave Propagation and Modeling #Signal Processing (eess.SP) #electronic engineering #information engineering
- The Uncanny Similarity of Recurrence and Depth
2021/02/22 by Avi Schwarzschild, Schwarzschild, Avi, Arjun Gupta +7 · 1 citation
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural Networks and Applications
- Center Smoothing: Certified Robustness for Networks with Structured Outputs
2021/02/19 by Aounon Kumar, Tom Goldstein, Kumar, Aounon +1 · 1 citation
Computer Science · Engineering · #Advanced Optical Network Technologies #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software-Defined Networks and 5G
- ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
2020/10/13 by Kevin Kuo, Anthony Ostuni, Kuo, Kevin +13 · 1 citation
Business, Management and Accounting · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Perspectives on the State and Future of Deep Learning - 2023
2023/12/07 by Micah Goldblum, Goldblum, Micah, Anima Anandkumar +17 · 3 voices
#cs.AI #cs.LG
- Comparing Human and Machine Bias in Face Recognition
2021/10/15 by Samuel Dooley, Ryan Downing, Dooley, Samuel +25 · 1 voice
Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Face Recognition and Perception #Face and Expression Recognition #Face recognition and analysis #Machine Learning (cs.LG) #cs.AI #cs.CV #cs.CY #cs.LG
- Self-Expressive Decompositions for Matrix Approximation and Clustering
2015/05/04 by Eva L. Dyer, Dyer, Eva L., Tom Goldstein +7 · 1 citation
Computer Science · Engineering · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
- The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive Video
2013/11/14 by Tom Goldstein, Goldstein, Tom, Lina Xu +5 · 1 citation
Engineering · Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques
- AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security
2025/04/29 by Zikui Cai, Cai, Zikui, Shayan Shabihi +13 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Security and Verification in Computing
- RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection
2025/10/06 by Yuxin Wen, Wen, Yuxin, Arman Zharmagambetov +11 · 6 citations
Psychology · #Behavioral and Psychological Studies
- OPTune: Efficient Online Preference Tuning
2024/06/11 by Li-chang Chen, Jiuhai Chen, Chen, Lichang +15 · 1 citation
Computer Science · Social Sciences · #Algorithms and Data Compression #Computation and Language (cs.CL) #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia Communication and Technology
- DynaGuard: A Dynamic Guardian Model With User-Defined Policies
2025/09/02 by Monte Hoover, Vatsal Baherwani, Hoover, Monte +17 · 2 citations
Social Sciences · #Access Control and Trust #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy
2021/03/07 by Chen Chen, Kezhi Kong, Chen, Chen +9 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Beyond Episodic Evaluation: Memory Architectural Bottlenecks in Sequential Embodied Question Answering
2026/07/23 by Zikui Cai, Kaushal Janga, Tan Dat Dao +15
#cs.RO
- Not All LLM Reasoning is Visible in the Chain-of-Thought
2026/07/24 by Vatsal Baherwani, Tom Goldstein, Ashwinee Panda
#cs.CL #cs.AI #cs.LG
- β-OPSD: Deriving with Policy Optimization, Training with Self-Distillation
2026/07/30 by Jiawei Xu, Minghui Liu, Juzheng Zhang +2
Computer Science · #cs.LG