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Jinhao Duan (段金昊) I am a PhD student at Drexel University, advised by Prof. Kaidi Xu. I am interested in Trustworthy Machine Learning, including Adversarial Robustness, Uncertainty Quantification of Large Foundation Models, Security & Privacy of Generative AI, with the potential applications in healthcare. |
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Recent News |
- [05/2024] SAR was accepted by ACL 2024
- [05/2024] One paper was accepted by ICML 2024
- [03/2024] Two papers were accepted by CVPR 2024 and one paper was accepted by NAACL 2024
- [01/2024] One paper was accepted by ICLR 2024
- [09/2023] Two papers were accepted by BMVC 2023
- [05/2023] One paper was accepted by ICML 2023
- [05/2023] One paper was accepted by IJCAI 2023
Selected Publications |
(* indicates equal contribution) |
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Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models
Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu Paper / Github ACL, 2024 |
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Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
Junyuan Hong*, Jinhao Duan*, Chenhui Zhang*, Zhangheng Li*, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li Paper / Project / Github / Leaderboard / Models SeT@ICLR, 2024 ICML, 2024 |
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ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models
Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu Paper / Github NAACL, 2024 |
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GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
Jinhao Duan*, Renming Zhang*, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu Paper / Github / GTBench HF Leaderboard arxiv, 2024 |
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ReMiND: Recovery of Missing Neuroimaging using Diffusion Models with Application to Alzheimer's Disease
Chenxi Yuan*, Jinhao Duan*, Nicholas J Tustison, Kaidi Xu, Rebecca A Hubbard, Kristin A Linn medrxiv, 2023 |
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Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu Paper / Github (SecMI) / Github (SecMI-LDM) ICML, 2023 |
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Improve Video Representation with Temporal Adversarial Augmentation
Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu IJCAI, 2023 |
Services
Program Committee (PC) member: EMNLP (2023), AAAI (2024), CVPR (2024)
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