Scaling Laws for Data Poisoning in LLMs. - Dillon Bowen; Brendan Murphy; Will Cai; David Khachaturov; Adam Gleave; Kellin Pelrine (CoRR, 2024)

Scaling Trends for Data Poisoning in LLMs. - Dillon Bowen; Brendan Murphy; Will Cai; David Khachaturov; Adam Gleave; Kellin Pelrine (AAAI, 2025)

Improving LLM Safety Alignment with Dual-Objective Optimization. - Xuandong Zhao; Will Cai; Tianneng Shi; David Huang; Licong Lin; Song Mei; Dawn Song (CoRR, 2025)

Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs. - Will Cai; Tianneng Shi; Xuandong Zhao; Dawn Song (CoRR, 2025)

PromptArmor: Simple yet Effective Prompt Injection Defenses. - Tianneng Shi; Kaijie Zhu; Zhun Wang; Yuqi Jia; Will Cai; Weida Liang; Haonan Wang; Hend Alzahrani; Joshua Lu; Kenji Kawaguchi; Basel Alomair; Xuandong Zhao; et al. (CoRR, 2025)

The Geometry of Harmfulness in LLMs through Subconcept Probing. - McNair Shah; Saleena Angeline; Adhitya Rajendra Kumar; Naitik Chheda; Kevin Zhu; Vasu Sharma; Sean O'Brien; Will Cai (CoRR, 2025)