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个人简介
My current research focuses on Machine Learning Safety and Security, with two main objectives: (1) To decipher the fundamental vulnerabilities prevalent in ML systems, and (2) To devise strategies that can counter these vulnerabilities, thereby contributing to the development of robust and trustworthy ML systems. Surrounding these two objectives, my research has covered multiple threads of Adversarial Machine Learning (Adv ML), including adversarial examples [2,6], data poisoning and backdoor attacks [3,4,5]. As the field of ML evolves with the introduction of large-scale foundation models and a concerted push towards AGI, my recent work [1,2] has also expanded to explore the tangible safety and security challenges within the sphere of AI alignment, with the ultimate objective of spurring robust and practical solutions that contribute to effective alignment infrastructures.
研究兴趣
论文共 13 篇作者统计合作学者相似作者
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Boyi Wei,Kaixuan Huang,Yangsibo Huang,Tinghao Xie,Xiangyu Qi,Mengzhou Xia,Prateek Mittal, Mengdi Wang,Peter Henderson
CoRR (2024)
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Jiongxiao Wang,Jiazhao Li, Yiquan Li,Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel,Muhao Chen,Bo Li,Chaowei Xiao
CoRR (2024)
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AAAI 2024no. 19 (2024): 21527-21536
PROCEEDINGS OF THE 32ND USENIX SECURITY SYMPOSIUM (2023): 1685-1702
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