Phillip Guo

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 5

Top Topics

Continuous Optimization

Top Venues

Publications

Abhay Sheshadri, Aidan Ewart, Phillip Guo, Aengus Lynch, Cindy Wu, Vivek Hebbar, Henry Sleight, Asa Cooper Stickland, Ethan Perez, Dylan Hadfield-Menell, Stephen Casper
Targeted Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs. CoRR (2024)
Aengus Lynch, Phillip Guo, Aidan Ewart, Stephen Casper, Dylan Hadfield-Menell
Eight Methods to Evaluate Robust Unlearning in LLMs. CoRR (2024)
Andy Zou, Long Phan, Sarah 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
Representation Engineering: A Top-Down Approach to AI Transparency. CoRR (2023)
James Campbell, Richard Ren, Phillip Guo
Localizing Lying in Llama: Understanding Instructed Dishonesty on True-False Questions Through Prompting, Probing, and Patching. CoRR (2023)
Phillip Guo, Michael C. Fu
Bandit-Based Multi-Start Strategies for Global Continuous Optimization. WSC (2022)