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2020 – today
- 2025
[c2]Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, J. Zico Kolter, Matt Fredrikson, Yarin Gal, Xander Davies:
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. ICLR 2025- [i15]Xander Davies, Eric Winsor, Tomek Korbak, Alexandra Souly, Robert Kirk, Christian Schröder de Witt, Yarin Gal:
Fundamental Limitations in Defending LLM Finetuning APIs. CoRR abs/2502.14828 (2025) - [i14]Joshua Clymer, Jonah Weinbaum, Robert Kirk, Kimberly Mai, Selena Zhang, Xander Davies:
An Example Safety Case for Safeguards Against Misuse. CoRR abs/2505.18003 (2025) - [i13]Zhili Feng, Yixuan Even Xu, Alexander Robey, Robert Kirk, Xander Davies, Yarin Gal, Avi Schwarzschild, J. Zico Kolter:
Existing Large Language Model Unlearning Evaluations Are Inconclusive. CoRR abs/2506.00688 (2025) - [i12]Ian R. McKenzie, Oskar John Hollinsworth, Tom Tseng, Xander Davies, Stephen Casper, Aaron D. Tucker, Robert Kirk, Adam Gleave:
STACK: Adversarial Attacks on LLM Safeguard Pipelines. CoRR abs/2506.24068 (2025) - [i11]Andy Zou, Maxwell Lin, Eliot Krzysztof Jones, Micha Nowak, Mateusz Dziemian, Nick Winter, Alexander Grattan, Valent Nathanael, Ayla Croft, Xander Davies, Jai Patel, Robert Kirk, Nate Burnikell, Yarin Gal, Dan Hendrycks, J. Zico Kolter, Matt Fredrikson:
Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition. CoRR abs/2507.20526 (2025) - [i10]Kyle O'Brien, Stephen Casper, Quentin Anthony, Tomek Korbak, Robert Kirk, Xander Davies, Ishan Mishra, Geoffrey Irving, Yarin Gal, Stella Biderman:
Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs. CoRR abs/2508.06601 (2025) - [i9]Chengquan Guo, Chulin Xie, Yu Yang, Zhaorun Chen, Zinan Lin, Xander Davies, Yarin Gal, Dawn Song, Bo Li:
RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents. CoRR abs/2510.02609 (2025) - [i8]Alexandra Souly, Javier Rando, Ed Chapman, Xander Davies, Burak Hasircioglu, Ezzeldin Shereen, Carlos Mougan, Vasilios Mavroudis, Erik Jones, Chris Hicks, Nicholas Carlini, Yarin Gal, Robert Kirk:
Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples. CoRR abs/2510.07192 (2025) - [i7]Julia Bazinska, Max Mathys, Francesco Casucci, Mateo Rojas-Carulla, Xander Davies, Alexandra Souly, Niklas Pfister:
Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents. CoRR abs/2510.22620 (2025) - 2024
- [i6]Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, Zico Kolter, Matt Fredrikson, Eric Winsor, Jerome Wynne, Yarin Gal, Xander Davies:
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. CoRR abs/2410.09024 (2024) - 2023
- [j1]Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell:
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. 2023 (2023) - [c1]Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman:
Sparse Distributed Memory is a Continual Learner. ICLR 2023 - [i5]Xander Davies, Lauro Langosco, David Krueger:
Unifying Grokking and Double Descent. CoRR abs/2303.06173 (2023) - [i4]Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman:
Sparse Distributed Memory is a Continual Learner. CoRR abs/2303.11934 (2023) - [i3]Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau
:
Discovering Variable Binding Circuitry with Desiderata. CoRR abs/2307.03637 (2023) - [i2]Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell:
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR abs/2307.15217 (2023) - [i1]Maximilian Li, Xander Davies, Max Nadeau:
Circuit Breaking: Removing Model Behaviors with Targeted Ablation. CoRR abs/2309.05973 (2023)
Coauthor Index
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