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Tianneng Shi
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2020 – today
- 2025
- [i10]Linyu Wu, Xiaoyuan Liu, Tianneng Shi, Zhe Ye, Dawn Song:
DeServe: Towards Affordable Offline LLM Inference via Decentralization. CoRR abs/2501.14784 (2025) - [i9]Xuandong Zhao, Will Cai, Tianneng Shi, David Huang, Licong Lin, Song Mei, Dawn Song:
Improving LLM Safety Alignment with Dual-Objective Optimization. CoRR abs/2503.03710 (2025) - [i8]Tianci Xue, Weijian Qi, Tianneng Shi, Chan Hee Song, Boyu Gou
, Dawn Song, Huan Sun, Yu Su:
An Illusion of Progress? Assessing the Current State of Web Agents. CoRR abs/2504.01382 (2025) - [i7]Will Cai, Tianneng Shi, Xuandong Zhao, Dawn Song:
Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs. CoRR abs/2504.04715 (2025) - [i6]Wenbo Guo, Yujin Potter, Tianneng Shi, Zhun Wang, Andy Zhang, Dawn Song:
Frontier AI's Impact on the Cybersecurity Landscape. CoRR abs/2504.05408 (2025) - [i5]Tianneng Shi, Jingxuan He, Zhun Wang, Linyu Wu, Hongwei Li, Wenbo Guo, Dawn Song:
Progent: Programmable Privilege Control for LLM Agents. CoRR abs/2504.11703 (2025) - [i4]Zhun Wang, Vincent Siu, Zhe Ye, Tianneng Shi, Yuzhou Nie, Xuandong Zhao, Chenguang Wang, Wenbo Guo, Dawn Song:
AGENTFUZZER: Generic Black-Box Fuzzing for Indirect Prompt Injection against LLM Agents. CoRR abs/2505.05849 (2025) - [i3]Zhun Wang, Tianneng Shi, Jingxuan He, Matthew Cai, Jialin Zhang, Dawn Song:
CyberGym: Evaluating AI Agents' Cybersecurity Capabilities with Real-World Vulnerabilities at Scale. CoRR abs/2506.02548 (2025) - [i2]Tianneng Shi, Kaijie Zhu, Zhun Wang, Yuqi Jia, Will Cai, Weida Liang, Haonan Wang, Hend Alzahrani, Joshua Lu, Kenji Kawaguchi, Basel Alomair, Xuandong Zhao, William Yang Wang, Neil Gong, Wenbo Guo, Dawn Song:
PromptArmor: Simple yet Effective Prompt Injection Defenses. CoRR abs/2507.15219 (2025) - 2022
- [i1]Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song:
UniFed: A Benchmark for Federated Learning Frameworks. CoRR abs/2207.10308 (2022)
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last updated on 2025-08-19 01:21 CEST by the dblp team
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