| A survey on large language model (llm) security and privacy: The good, the bad, and the ugly Y Yao, J Duan, K Xu, Y Cai, Z Sun, Y Zhang High-Confidence Computing, 100211, 2024 | 593 | 2024 |
| Are diffusion models vulnerable to membership inference attacks? J Duan, F Kong, S Wang, X Shi, K Xu ICML 2023, 2023 | 109 | 2023 |
| Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models J Duan, H Cheng, S Wang, A Zavalny, C Wang, R Xu, B Kailkhura, K Xu ACL 2024, 5050-5063, 2024 | 87* | 2024 |
| Gtbench: Uncovering the strategic reasoning limitations of llms via game-theoretic evaluations J Duan, R Zhang, J Diffenderfer, B Kailkhura, L Sun, E Stengel-Eskin, ... NeurIPS 2024, 2024 | 40 | 2024 |
| Exposing the fake: Effective diffusion-generated images detection R Ma, J Duan, F Kong, X Shi, K Xu AdvML Frontiers@ICML 2023, 2023 | 34 | 2023 |
| An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization F Kong, J Duan, RP Ma, H Shen, X Zhu, X Shi, K Xu ICLR 2024, 2023 | 33 | 2023 |
| Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression J Hong*, J Duan*, C Zhang*, Z Li*, C Xie, K Lieberman, J Diffenderfer, ... ICML 2024 (*equal contribution), 2024 | 16 | 2024 |
| Unlearnable examples for diffusion models: Protect data from unauthorized exploitation Z Zhao, J Duan, X Hu, K Xu, C Wang, R Zhang, Z Du, Q Guo, Y Chen Reliable and Responsible Foundation ModelsI@ICLR 2024, 2023 | 15 | 2023 |
| Zidong Du, Qi Guo, and Yunji Chen. Unlearnable examples for diffusion models: Protect data from unauthorized exploitation Z Zhao, J Duan, X Hu, K Xu, C Wang, R Zhang Reliable and Responsible Foundation ModelsI@ICLR 2024 2, 2023 | 14 | 2023 |
| Semantic Adversarial Attacks via Diffusion Models C Wang, J Duan, C Xiao, E Kim, M Stamm, K Xu BMVC 2023, 2023 | 10 | 2023 |
| Unveiling typographic deceptions: Insights of the typographic vulnerability in large vision-language models H Cheng, E Xiao, J Gu, L Yang, J Duan, J Zhang, J Cao, K Xu, R Xu European Conference on Computer Vision, 179-196, 2024 | 9 | 2024 |
| Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? Z Zhao, J Duan, K Xu, C Wang, RZZDQ Guo, X Hu CVPR 2024, 2023 | 9 | 2023 |
| ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models J Duan, S Wang, J Diffenderfer, L Sun, T Chen, B Kailkhura, K Xu NAACL 2024, 2232-2246, 2024 | 8 | 2024 |
| Conu: Conformal uncertainty in large language models with correctness coverage guarantees Z Wang, J Duan, L Cheng, Y Zhang, Q Wang, X Shi, K Xu, H Shen, X Zhu arXiv preprint arXiv:2407.00499, 2024 | 7 | 2024 |
| Remind: Recovery of missing neuroimaging using diffusion models with application to alzheimer’s disease C Yuan*, J Duan*, NJ Tustison, K Xu, RA Hubbard, KA Linn Imaging Neuroscience (* equal contribution), 2023 | 6 | 2023 |
| Word-sequence entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond Z Wang, J Duan, C Yuan, Q Chen, T Chen, Y Zhang, R Wang, X Shi, K Xu Engineering Applications of Artificial Intelligence 139, 109553, 2025 | 3 | 2025 |
| Act-diffusion: efficient adversarial consistency training for one-step diffusion models F Kong, J Duan, L Sun, H Cheng, R Xu, H Shen, X Zhu, X Shi, K Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias H Cheng, J Duan, H Li, L Zhang, J Cao, P Wang, J Zhang, K Xu, R Xu BMVC 2023, 2023 | 3 | 2023 |
| Improve Video Representation with Temporal Adversarial Augmentation J Duan, Q Fan, H Cheng, X Shi, K Xu IJCAI 2023, 2023 | 2 | 2023 |
| GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing J Duan, X Zhao, Z Zhang, E Ko, L Boddy, C Wang, T Li, A Rasgon, J Hong, ... NAACL 2025, 2025 | | 2025 |
