Vikash Sehwag
- Extracting Training Data from Diffusion Models
2023/01/30 by Nicholas Carlini, Jamie Hayes, Carlini, Nicholas +15 · 9 voices · 140 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1398 citations
#cs.CL #cs.AI
- Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
2024/07/22 by Vikash Sehwag, Xianghao Kong, Sehwag, Vikash +7 · 5 voices · 10 citations
Economics, Econometrics and Finance · #Sports Analytics and Performance
- RobustBench: a standardized adversarial robustness benchmark
2020/10/19 by Francesco Croce, Croce, Francesco, Maksym Andriushchenko +13 · 77 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Cardiac Arrest and Resuscitation #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
2024/03/28 by Patrick Chao, Chao, Patrick, Edoardo Debenedetti +21 · 131 citations
Computer Science · #Authorship Attribution and Profiling #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
- SSD: A Unified Framework for Self-Supervised Outlier Detection
2021/03/22 by Vikash Sehwag, Sehwag, Vikash, Mung Chiang +3 · 31 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- How to Trace Latent Generative Model Generated Images without Artificial Watermark?
2024/05/22 by Zhenting Wang, Vikash Sehwag, Wang, Zhenting +9 · 11 citations
Computer Science · Engineering · #Image Processing and 3D Reconstruction #Computer Graphics and Visualization Techniques #3D Modeling in Geospatial Applications
- Differentially Private Image Classification by Learning Priors from Random Processes
2023/06/08 by Xinyu Tang, Ashwinee Panda, Tang, Xinyu +5 · 5 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
- A Light Recipe to Train Robust Vision Transformers
2022/09/15 by Edoardo Debenedetti, Vikash Sehwag, Debenedetti, Edoardo +3 · 3 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
2022/12/08 by Ashwinee Panda, Panda, Ashwinee, Xinyu Tang +7 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Towards Compact and Robust Deep Neural Networks
2019/06/14 by Vikash Sehwag, Sehwag, Vikash, Shiqi Wang +5 · 3 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models
2024/10/16 by Jie Ren, Kangrui Chen, Ren, Jie +11 · 4 citations
Computer Science · #Natural Language Processing Techniques
- Uncovering Adversarial Risks of Test-Time Adaptation
2023/01/29 by Tong Wu, Feiran Jia, Wu, Tong +11 · 2 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · Medicine · #Anomaly Detection Techniques and Applications #Metabolomics and Mass Spectrometry Studies #Data-Driven Disease Surveillance
- AI Risk Management Should Incorporate Both Safety and Security
2024/05/29 by Xiangyu Qi, Yangsibo Huang, Qi, Xiangyu +47 · 3 citations
Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Cryptography and Security (cs.CR) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
- Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation
2022/07/22 by Tong Wu, Wu, Tong, Tianhao Wang +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #Machine Learning (cs.LG)
- HYDRA: Pruning Adversarially Robust Neural Networks
2020/02/24 by Vikash Sehwag, Shiqi Wang, Sehwag, Vikash +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications
- PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach
2025/11/24 by Udari Madhushani Sehwag, Shayan Shabihi, Sehwag, Udari Madhushani +11 · 1 citation
Computer Science · Medicine · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI