Xander Davies

According to our database, Xander Davies authored at least 12 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition.

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

CoRR, July, 2025

STACK: Adversarial Attacks on LLM Safeguard Pipelines.

Ian R. McKenzie, Oskar Hollinsworth, Tom Tseng, Xander Davies, Stephen Casper, Aaron D. Tucker, Robert Kirk, Adam Gleave

CoRR, June, 2025

Existing Large Language Model Unlearning Evaluations Are Inconclusive.

Zhili Feng, Yixuan Even Xu, Alexander Robey, Robert Kirk, Xander Davies, Yarin Gal, Avi Schwarzschild, J. Zico Kolter

CoRR, June, 2025

An Example Safety Case for Safeguards Against Misuse.

Joshua Clymer, Jonah Weinbaum, Robert Kirk, Kimberly Mai, Selena Zhang, Xander Davies

CoRR, May, 2025

Fundamental Limitations in Defending LLM Finetuning APIs.

Xander Davies, Eric Winsor, Tomek Korbak, Alexandra Souly, Robert Kirk, Christian Schröder de Witt, Yarin Gal

CoRR, February, 2025

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents.

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

CoRR, 2024

2023

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

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

Trans. Mach. Learn. Res., 2023

Circuit Breaking: Removing Model Behaviors with Targeted Ablation.

Maximilian Li, Xander Davies, Max Nadeau

CoRR, 2023

Discovering Variable Binding Circuitry with Desiderata.

Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau

CoRR, 2023

Unifying Grokking and Double Descent.

Xander Davies, Lauro Langosco, David Krueger

CoRR, 2023

Sparse Distributed Memory is a Continual Learner.

Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman

Proceedings of the Eleventh International Conference on Learning Representations, 2023