UniFed: A Benchmark for Federated Learning Frameworks. - Xiaoyuan Liu; Tianneng Shi; Chulin Xie; Qinbin Li; Kangping Hu; Haoyu Kim; Xiaojun Xu; Bo Li 026; Dawn Song (CoRR, 2022)

DeServe: Towards Affordable Offline LLM Inference via Decentralization. - Linyu Wu; Xiaoyuan Liu; Tianneng Shi; Zhe Ye; Dawn Song (CoRR, 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)

An Illusion of Progress? Assessing the Current State of Web Agents. - Tianci Xue; Weijian Qi; Tianneng Shi; Chan Hee Song; Boyu Gou; Dawn Song; Huan Sun 001; Yu Su 001 (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)

Frontier AI's Impact on the Cybersecurity Landscape. - Wenbo Guo 002; Yujin Potter; Tianneng Shi; Zhun Wang; Andy Zhang; Dawn Song (CoRR, 2025)

Progent: Programmable Privilege Control for LLM Agents. - Tianneng Shi; Jingxuan He; Zhun Wang; Linyu Wu; Hongwei Li; Wenbo Guo 002; Dawn Song (CoRR, 2025)

AGENTFUZZER: Generic Black-Box Fuzzing for Indirect Prompt Injection against LLM Agents. - Zhun Wang; Vincent Siu; Zhe Ye; Tianneng Shi; Yuzhou Nie; Xuandong Zhao; Chenguang Wang 001; Wenbo Guo 002; Dawn Song (CoRR, 2025)

CyberGym: Evaluating AI Agents' Cybersecurity Capabilities with Real-World Vulnerabilities at Scale. - Zhun Wang; Tianneng Shi; Jingxuan He; Matthew Cai; Jialin Zhang; 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)