Phillip Guo

According to our database, Phillip Guo authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs.

Abhay Sheshadri, Aidan Ewart, Phillip Guo, Aengus Lynch, Cindy Wu, Vivek Hebbar, Henry Sleight, Asa Cooper Stickland, Ethan Perez, Dylan Hadfield-Menell, Stephen Casper

Trans. Mach. Learn. Res., 2025

2024

Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization.

Phillip Guo, Aaquib Syed, Abhay Sheshadri, Aidan Ewart, Gintare Karolina Dziugaite

CoRR, 2024

Targeted Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs.

Abhay Sheshadri, Aidan Ewart, Phillip Guo, Aengus Lynch, Cindy Wu, Vivek Hebbar, Henry Sleight, Asa Cooper Stickland, Ethan Perez, Dylan Hadfield-Menell, Stephen Casper

CoRR, 2024

Eight Methods to Evaluate Robust Unlearning in LLMs.

Aengus Lynch, Phillip Guo, Aidan Ewart, Stephen Casper, Dylan Hadfield-Menell

CoRR, 2024

2023

Localizing Lying in Llama: Understanding Instructed Dishonesty on True-False Questions Through Prompting, Probing, and Patching.

James Campbell, Richard Ren, Phillip Guo

CoRR, 2023

Representation Engineering: A Top-Down Approach to AI Transparency.

Andy Zou, Long Phan, Sarah Li Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks

CoRR, 2023

Prune and Tune: Improving Efficient Pruning Techniques for Massive Language Models.

Aaquib Syed, Phillip Guo, Vijaykaarti Sundarapandiyan

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Bandit-Based Multi-Start Strategies for Global Continuous Optimization.

Phillip Guo, Michael C. Fu

Proceedings of the Winter Simulation Conference, 2022