Adversarial Policies Beat Professional-Level Go AIs. - Tony Tong Wang; Adam Gleave; Nora Belrose; Tom Tseng; Joseph Miller; Michael D. Dennis; Yawen Duan; Viktor Pogrebniak; Sergey Levine; Stuart Russell 001 (CoRR, 2022)

Adversarial Policies Beat Superhuman Go AIs. - Tony Tong Wang; Adam Gleave; Tom Tseng; Kellin Pelrine; Nora Belrose; Joseph Miller; Michael D. Dennis; Yawen Duan; Viktor Pogrebniak; Sergey Levine; Stuart Russell 001 (ICML, 2023)

Cliff-Learning. - Tony T. Wang 001; Igor Zablotchi; Nir Shavit; Jonathan S. Rosenfeld (CoRR, 2023)

Forbidden Facts: An Investigation of Competing Objectives in Llama-2. - Tony T. Wang 001; Miles Wang; Kaivalya Hariharan; Nir Shavit (CoRR, 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; et al. (Trans. Mach. Learn. Res., 2023)

Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation. - Danny Halawi; Alexander Wei 001; Eric Wallace; Tony Tong Wang; Nika Haghtalab; Jacob Steinhardt (ICML, 2024)

Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach. - Tony T. Wang 001; John Hughes; Henry Sleight; Rylan Schaeffer; Rajashree Agrawal; Fazl Barez; Mrinank Sharma; Jesse Mu; Nir Shavit; Ethan Perez (CoRR, 2024)

Can Go AIs Be Adversarially Robust? - Tom Tseng; Euan McLean; Kellin Pelrine; Tony Tong Wang; Adam Gleave (AAAI, 2025)

Failures to Find Transferable Image Jailbreaks Between Vision-Language Models. - Rylan Schaeffer; Dan Valentine; Luke Bailey; James Chua; Cristóbal Eyzaguirre; Zane Durante; Joe Benton; Brando Miranda; Henry Sleight; Tony Tong Wang; John Hughes; Rajashree Agrawal; et al. (ICLR, 2025)

A connectomics-driven analysis reveals novel characterization of border regions in mouse visual cortex. - Neehal Tumma; Linghao Kong; Shashata Sawmya; Tony T. Wang 001; Nir Shavit (Neural Networks, 2025)