Jinghui Chen

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 79

Top Topics

Convex Optimization

Top Venues

Publications

Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. ACL (1) (2024)
Dongruo Zhou, Jinghui Chen, Yuan Cao, Ziyan Yang, Quanquan Gu
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization. Trans. Mach. Learn. Res. 2024 (2024)
Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI (2024)
Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen
WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response. CoRR (2024)
Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. USENIX Security Symposium (2024)
Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. CoRR (2024)
Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen
Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration. ICLR (2024)
Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu
Graph Adversarial Diffusion Convolution. CoRR (2024)
Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning. CoRR (2024)
Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection. CoRR (2024)
Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution. CoRR (2024)
Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. CoRR (2024)
Jinghui Chen, Takayuki Mizuno, Shohei Doi
Analyzing political party positions through multi-language twitter text embeddings. Frontiers Big Data 7 (2024)
Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning. NAACL-HLT (2024)
Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
Jailbreak Open-Sourced Large Language Models via Enforced Decoding. ACL (1) (2024)
Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun
Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks? USENIX Security Symposium (2024)
Weiyu Sun, Xinyu Zhang, Hao Lu, Yingcong Chen, Ting Wang, Jinghui Chen, Lu Lin
Backdoor Contrastive Learning via Bi-level Trigger Optimization. CoRR (2024)
Yuanpu Cao, Bochuan Cao, Jinghui Chen
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections. NAACL-HLT (2024)
Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen
FADAS: Towards Federated Adaptive Asynchronous Optimization. CoRR (2024)
Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. CoRR (2024)
Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin
Backdoor Contrastive Learning via Bi-level Trigger Optimization. ICLR (2024)
Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav
RoCourseNet: Robust Training of a Prediction Aware Recourse Model. CIKM (2023)
Jinghui Chen, Yuan Cao, Quanquan Gu
Benign Overfitting in Adversarially Robust Linear Classification. UAI (2023)
Yuanpu Cao, Bochuan Cao, Jinghui Chen
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections. CoRR (2023)
Pei Fang, Jinghui Chen
On the Vulnerability of Backdoor Defenses for Federated Learning. CoRR (2023)
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. NeurIPS (2023)
Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu
Graph Contrastive Backdoor Attacks. ICML (2023)
Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. CoRR (2023)
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. CoRR (2023)
Pei Fang, Jinghui Chen
On the Vulnerability of Backdoor Defenses for Federated Learning. AAAI (2023)
Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu
A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning. NeurIPS (2023)
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. NeurIPS (2023)
Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee
Do Language Models Plagiarize? WWW (2023)
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. NeurIPS (2023)
Tiejin Chen, Yuanpu Cao, Yujia Wang, Cho-Jui Hsieh, Jinghui Chen
Federated Learning with Projected Trajectory Regularization. CoRR (2023)
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. CoRR (2023)
Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. CoRR (2023)
Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. NeurIPS (2023)
Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused? CoRR (2023)
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. CoRR (2023)
Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma
PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. KDD (2023)
Lu Lin, Jinghui Chen, Hongning Wang
Spectral Augmentation for Self-Supervised Learning on Graphs. ICLR (2023)
Shuwen Chai, Jinghui Chen
One-shot Neural Backdoor Erasing via Adversarial Weight Masking. CoRR (2022)
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
Efficient Robust Training via Backward Smoothing. AAAI (2022)
Lu Lin, Jinghui Chen, Hongning Wang
Spectral Augmentation for Self-Supervised Learning on Graphs. CoRR (2022)
Yujia Wang, Lu Lin, Jinghui Chen
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. AISTATS (2022)
Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee
Do Language Models Plagiarize? CoRR (2022)
Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma
LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. KDD (2022)
Songtao Liu, Rex Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu
How Powerful is Implicit Denoising in Graph Neural Networks. CoRR (2022)
Weiqi Peng, Jinghui Chen
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations. CoRR (2022)
Shuwen Chai, Jinghui Chen
One-shot Neural Backdoor Erasing via Adversarial Weight Masking. NeurIPS (2022)
Yujia Wang, Lu Lin, Jinghui Chen
Communication-Efficient Adaptive Federated Learning. ICML (2022)
Weiqi Peng, Jinghui Chen
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations. ICLR (2022)
Yujia Wang, Lu Lin, Jinghui Chen
Communication-Efficient Adaptive Federated Learning. CoRR (2022)
Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model. CoRR (2022)
Yujia Wang, Lu Lin, Jinghui Chen
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. CoRR (2021)
Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu
Do Wider Neural Networks Really Help Adversarial Robustness? NeurIPS (2021)
Jinghui Chen, Yuan Cao, Quanquan Gu
Benign Overfitting in Adversarially Robust Linear Classification. CoRR (2021)
Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. AAAI (2020)
Chen Dong, Yulin Liu, Jinghui Chen, Ximeng Liu, Wenzhong Guo, Yuzhong Chen
An Unsupervised Detection Approach for Hardware Trojans. IEEE Access 8 (2020)
Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. IJCAI (2020)
Jinghui Chen, Quanquan Gu
RayS: A Ray Searching Method for Hard-label Adversarial Attack. CoRR (2020)
Jinghui Chen, Quanquan Gu
RayS: A Ray Searching Method for Hard-label Adversarial Attack. KDD (2020)
Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu
Does Network Width Really Help Adversarial Robustness? CoRR (2020)
Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. AISTATS (2020)
Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. CoRR (2020)
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
Efficient Robust Training via Backward Smoothing. CoRR (2020)
Jinghui Chen, Chen Dong, Guorong He, Xiaoyu Zhang
A method for indoor Wi-Fi location based on improved back propagation neural network. Turkish J. Electr. Eng. Comput. Sci. 27 (4) (2019)
Chen Dong, Jinghui Chen, Wenzhong Guo, Jian Zou
A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things. Int. J. Distributed Sens. Networks 15 (12) (2019)
Jinghui Chen, Pan Xu, Lingxiao Wang, Jian Ma, Quanquan Gu
Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization. ICML (2018)
Jinghui Chen, Micayla Goodrum, Ronald A. Metoyer, Jane Cleland-Huang
How do practitioners perceive assurance cases in safety-critical software systems? CHASE@ICSE (2018)
Jinghui Chen, Jinfeng Yi, Quanquan Gu
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. CoRR (2018)
Pan Xu, Jinghui Chen, Difan Zou, Quanquan Gu
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization. NeurIPS (2018)
Jinghui Chen, Quanquan Gu
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. CoRR (2018)
Jinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga
Outlier Detection with Autoencoder Ensembles. SDM (2017)
Jinghui Chen, Lingxiao Wang, Xiao Zhang, Quanquan Gu
Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption. CoRR (2017)
Jinghui Chen, Quanquan Gu
Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization. KDD (2017)
Pan Xu, Jinghui Chen, Quanquan Gu
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization. CoRR (2017)
Jinghui Chen, Quanquan Gu
Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization. UAI (2016)
Florian Baumann, Jinghui Chen, Karsten Vogt, Bodo Rosenhahn
Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers. CRV (2015)
Jinghui Chen, Feng Ye, Jinhong Di, Chun Liu, Aidong Men
Depth map compression via edge-based inpainting. PCS (2012)
Xiaoping Li, Jinghui Chen, Yinxing Li, Qiong Xu
The study of network layer topology discovery algorithm for optimization problem based on SNMP. NCM (2010)
Xueping Zhang, Fen Qin, Jiayao Wang, Yongheng Fu, Jinghui Chen
Clustering Spatial Data with Obstacles Constraints by PSO. FSKD (3) (2007)