Eric Wallace
- Scalable Extraction of Training Data from (Production) Language Models
2023/11/28 by Milad Nasr, Nicholas Carlini, Nasr, Milad +17 · 21 voices · 66 citations
Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Explainable Artificial Intelligence (XAI)
- Extracting Training Data from Diffusion Models
2023/01/30 by Nicholas Carlini, Carlini, Nicholas, Jamie Hayes +15 · 9 voices · 100 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis
- The False Promise of Imitating Proprietary LLMs
2023/05/25 by Arnav Gudibande, Gudibande, Arnav, Eric Wallace +13 · 8 voices · 14 citations
Computer Science · Engineering · #Topic Modeling #Ferroelectric and Negative Capacitance Devices #Software Engineering Research
- The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
2024/04/19 by Eric Wallace, Kai Xiao, Wallace, Eric +9 · 10 voices · 73 citations
Computer Science · Social Sciences · #Artificial Intelligence in Law #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Legal Education and Practice Innovations #Machine Learning (cs.LG) #cs.CL #cs.CR #cs.LG
- Extracting Training Data from Large Language Models
2020/12/14 by Nicholas Carlini, Carlini, Nicholas, Florian Tramer +25 · 8 voices · 235 citations
Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Topic Modeling #cs.CL #cs.CR #cs.LG
- Stealing Part of a Production Language Model
2024/03/11 by Nicholas Carlini, Carlini, Nicholas, Daniel Paleka +26 · 11 voices · 26 citations
Computer Science · #Natural Language Processing Techniques #cs.CR
- Large Language Models Struggle to Learn Long-Tail Knowledge
2022/11/15 by Nikhil Kandpal, Kandpal, Nikhil, Haikang Deng +7 · 2 voices · 63 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Expert finding and Q&A systems
- Poisoning Language Models During Instruction Tuning
2023/05/01 by Alexander Wan, Wan, Alexander, Eric Wallace +5 · 3 voices · 36 citations
Computer Science · #Adversarial Robustness in Machine Learning #cs.CL #cs.CR #cs.LG
- Calibrate Before Use: Improving Few-Shot Performance of Language Models
2021/02/19 by Tony Z. Zhao, Zhao, Tony Z., Eric Wallace +7 · 2 voices · 109 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.LG
- OpenAI o1 System Card
2024/12/21 by OpenAI, :, Aaron Jaech +347 · 485 citations
Computer Science · #Advanced Computational Techniques and Applications
- InCoder: A Generative Model for Code Infilling and Synthesis
2022/04/12 by Daniel Fried, Fried, Daniel, Armen Aghajanyan +16 · 55 citations
Computer Science · #Software Engineering Research #Software Testing and Debugging Techniques #Software Reliability and Analysis Research
- AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
2020/10/29 by Taylor Shin, Yasaman Razeghi, Shin, Taylor +7 · 16 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining
- OpenAI GPT-5 System Card
2025/12/19 by Aaditya Singh, Adam Fry, Adam Perelman +483 · 2 voices · 36 citations
#cs.CL #cs.AI
- Measuring Forgetting of Memorized Training Examples
2022/06/30 by Matthew Jagielski, Om Thakkar, Jagielski, Matthew +19 · 12 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Topic Modeling
- SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
2023/08/08 by Sewon Min, Min, Sewon, Suchin Gururangan +11 · 1 voice · 10 citations
Computer Science · #Topic Modeling #cs.AI #cs.CL #cs.LG
- What Evidence Do Language Models Find Convincing?
2024/02/19 by Alexander Wan, Wan, Alexander, Eric Wallace +3 · 2 voices · 11 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
- ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?
2026/05/11 by Zhun Wang, Nico Schiller, Hongwei Li +13 · 8 voices · 1 citation
#cs.CR #cs.AI #cs.LG
- Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
2021/06/24 by Robert L. Logan, Logan, Robert L., Ivana Balažević +9 · 6 citations
Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Natural Language Processing Techniques
- Compositional Questions Do Not Necessitate Multi-hop Reasoning
2019/06/07 by Sewon Min, Eric Wallace, Min, Sewon +9 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval and Search Behavior #Natural Language Processing Techniques #Topic Modeling
- Imitation Attacks and Defenses for Black-box Machine Translation Systems
2020/04/30 by Eric Wallace, Mitchell Stern, Wallace, Eric +3 · 4 citations
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- Trading Inference-Time Compute for Adversarial Robustness
2025/01/31 by Wojciech Zaremba, Evgenia Nitishinskaya, Zaremba, Wojciech +18 · 14 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Fault Detection and Control Systems
- Power, precision, and sample size estimation in sport and exercise science research
2020/06/19 by Grant Abt, Colin Boreham, Gareth W. Davison +7 · 4 citations
Economics, Econometrics and Finance · Decision Sciences · Medicine · #Sports Analytics and Performance #Meta-analysis and systematic reviews #Sports Performance and Training
- Privacy Side Channels in Machine Learning Systems
2023/09/11 by Edoardo Debenedetti, Giorgio Severi, Debenedetti, Edoardo +13 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation
2019/02/01 by Sahil Singla, Eric Wallace, Singla, Sahil +4 · 4 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Estimating Worst-Case Frontier Risks of Open-Weight LLMs
2025/08/05 by Eric Wallace, Olivia Watkins, Wallace, Eric +7 · 3 voices · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
- Predicting Emergent Capabilities by Finetuning
2024/11/25 by Charlie Snell, Eric Wallace, Snell, Charlie +5 · 1 voice · 3 citations
Decision Sciences · #Complex Systems and Decision Making #cs.CL #cs.LG
- Evaluating Models' Local Decision Boundaries via Contrast Sets
2020/04/06 by Matt Gardner, Yoav Artzi, Gardner, Matt +49 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
- The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset
2024/10/23 by Jeffrey D. Rudie, Hui Ming Lin, Robyn L. Ball +97 · 1 voice · 1 citation
Medicine · #Pelvic and Acetabular Injuries #Radiation Dose and Imaging #Abdominal Trauma and Injuries
- GPT-Red: Automated Red Teaming via Self-Play at Scale
2026/07/28 by Eric Wallace, Christopher A. Choquette-Choo, Nikhil Kandpal +15
Computer Science · #cs.AI #cs.CL #cs.CR #cs.LG