| 2026 | ACL | Can Factual Opinions Be Edited (Manipulated) in Large Language Models? | Yuanpu Cao, Ziyi Yin, Fenglong Ma, Jinghui Chen |
| 2026 | ACL | ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding. | Ziyi Yin, Yuanpu Cao, Ting Wang, Jinghui Chen, Fenglong Ma |
| 2025 | ACL | Shadow-Activated Backdoor Attacks on Multimodal Large Language Models. | Ziyi Yin, Muchao Ye, Yuanpu Cao, Jiaqi Wang, Aofei Chang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma |
| 2025 | ACL | JoPA: Explaining Large Language Model's Generation via Joint Prompt Attribution. | Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin |
| 2025 | CCS | You Can't Steal Nothing: Mitigating Prompt Leakages in LLMs via System Vectors. | Bochuan Cao, Changjiang Li, Yuanpu Cao, Yameng Ge, Ting Wang, Jinghui Chen |
| 2025 | EMNLP | Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time. | Yifan Lan, Yuanpu Cao, Weitong Zhang, Lu Lin, Jinghui Chen |
| 2025 | ICML | TruthFlow: Truthful LLM Generation via Representation Flow Correction. | Hanyu Wang, Bochuan Cao, Yuanpu Cao, Jinghui Chen |
| 2025 | ICML | AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models. | Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin |
| 2025 | NAACL | PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection. | Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee |
| 2025 | NAACL | WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response. | Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen |
| 2024 | AAAI | VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. | Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma |
| 2024 | ACL | Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. | Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen |
| 2024 | ACL | Jailbreak Open-Sourced Large Language Models via Enforced Decoding. | Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu |
| 2024 | EMNLP | FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. | Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma |
| 2024 | ICLR | Backdoor Contrastive Learning via Bi-level Trigger Optimization. | Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin |
| 2024 | ICLR | Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration. | Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen |
| 2024 | ICML | Graph Adversarial Diffusion Convolution. | Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu |
| 2024 | ICML | FADAS: Towards Federated Adaptive Asynchronous Optimization. | Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen |
| 2024 | NAACL | Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections. | Yuanpu Cao, Bochuan Cao, Jinghui Chen |
| 2024 | NAACL | PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning. | Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen |
| 2023 | AAAI | On the Vulnerability of Backdoor Defenses for Federated Learning. | Pei Fang, Jinghui Chen |
| 2023 | CIKM | RoCourseNet: Robust Training of a Prediction Aware Recourse Model. | Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav |
| 2023 | ICLR | Spectral Augmentation for Self-Supervised Learning on Graphs. | Lu Lin, Jinghui Chen, Hongning Wang |
| 2023 | ICML | Graph Contrastive Backdoor Attacks. | Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu |
| 2023 | KDD | PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. | Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma |
| 2023 | WWW | Do Language Models Plagiarize? | Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee |
| 2023 | UAI | Benign Overfitting in Adversarially Robust Linear Classification. | Jinghui Chen, Yuan Cao, Quanquan Gu |
| 2022 | AAAI | Efficient Robust Training via Backward Smoothing. | Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu |
| 2022 | AISTATS | Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. | Yujia Wang, Lu Lin, Jinghui Chen |
| 2022 | ICLR | Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations. | Weiqi Peng, Jinghui Chen |
| 2022 | ICML | Communication-Efficient Adaptive Federated Learning. | Yujia Wang, Lu Lin, Jinghui Chen |
| 2022 | KDD | LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. | Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma |
| 2020 | AAAI | A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. | Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu |
| 2020 | AISTATS | Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. | Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans |
| 2020 | IJCAI | Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. | Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu |
| 2020 | KDD | RayS: A Ray Searching Method for Hard-label Adversarial Attack. | Jinghui Chen, Quanquan Gu |
| 2018 | ICML | Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization. | Jinghui Chen, Pan Xu, Lingxiao Wang, Jian Ma, Quanquan Gu |
| 2018 | ICSE | How do practitioners perceive assurance cases in safety-critical software systems? | Jinghui Chen, Micayla Goodrum, Ronald A. Metoyer, Jane Cleland-Huang |
| 2017 | KDD | Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization. | Jinghui Chen, Quanquan Gu |
| 2017 | SDM | Outlier Detection with Autoencoder Ensembles. | Jinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga |
| 2016 | UAI | Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization. | Jinghui Chen, Quanquan Gu |
| 2012 | PCS | Depth map compression via edge-based inpainting. | Jinghui Chen, Feng Ye, Jinhong Di, Chun Liu, Aidong Men |