Jinghui Chen

According to our database, Jinghui Chen authored at least 69 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deter-Pay: A Deterministic Routing Protocol in Concurrent Payment Channel Network.

Qingqing Cai, Jinghui Chen, Deyu Luo, Gang Sun, Hongfang Yu, Mohsen Guizani

IEEE Internet Things J., October, 2024

On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization.

Dongruo Zhou, Jinghui Chen, Yuan Cao, Ziyan Yang, Quanquan Gu

Trans. Mach. Learn. Res., 2024

Analyzing political party positions through multi-language twitter text embeddings.

Jinghui Chen, Takayuki Mizuno, Shohei Doi

Frontiers Big Data, 2024

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection.

Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma

CoRR, 2024

Adversarially Robust Industrial Anomaly Detection Through Diffusion Model.

Yuanpu Cao, Lu Lin, Jinghui Chen

CoRR, 2024

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

CoRR, 2024

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models.

Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang

CoRR, 2024

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning.

Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen

CoRR, 2024

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization.

Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen

CoRR, 2024

XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution.

Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin

CoRR, 2024

WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response.

Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen

CoRR, 2024

Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks?

Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun

Proceedings of the 33rd USENIX Security Symposium, 2024

On the Difficulty of Defending Contrastive Learning against Backdoor Attacks.

Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang

Proceedings of the 33rd USENIX Security Symposium, 2024

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning.

Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections.

Yuanpu Cao, Bochuan Cao, Jinghui Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

FADAS: Towards Federated Adaptive Asynchronous Optimization.

Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Adversarial Diffusion Convolution.

Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration.

Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Backdoor Contrastive Learning via Bi-level Trigger Optimization.

Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models.

Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM.

Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Federated Learning with Projected Trajectory Regularization.

Tiejin Chen, Yuanpu Cao, Yujia Wang, Cho-Jui Hsieh, Jinghui Chen

CoRR, 2023

On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?

Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu

CoRR, 2023

Do Language Models Plagiarize?

Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee

Proceedings of the ACM Web Conference 2023, 2023

Benign Overfitting in Adversarially Robust Linear Classification.

Jinghui Chen, Yuan Cao, Quanquan Gu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning.

Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation.

Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks.

Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI.

Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models.

Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text.

Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Contrastive Backdoor Attacks.

Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu

Proceedings of the International Conference on Machine Learning, 2023

Spectral Augmentation for Self-Supervised Learning on Graphs.

Lu Lin, Jinghui Chen, Hongning Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

RoCourseNet: Robust Training of a Prediction Aware Recourse Model.

Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

On the Vulnerability of Backdoor Defenses for Federated Learning.

Pei Fang, Jinghui Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

How Powerful is Implicit Denoising in Graph Neural Networks.

Songtao Liu, Rex Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu

CoRR, 2022

RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model.

Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav

CoRR, 2022

One-shot Neural Backdoor Erasing via Adversarial Weight Masking.

Shuwen Chai, Jinghui Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization.

Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Communication-Efficient Adaptive Federated Learning.

Yujia Wang, Lu Lin, Jinghui Chen

Proceedings of the International Conference on Machine Learning, 2022

Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations.

Weiqi Peng, Jinghui Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization.

Yujia Wang, Lu Lin, Jinghui Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Efficient Robust Training via Backward Smoothing.

Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Evaluating and Understanding Adversarial Robustness in Deep Learning.

Jinghui Chen

PhD thesis, 2021

Do Wider Neural Networks Really Help Adversarial Robustness?

Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Does Network Width Really Help Adversarial Robustness?

Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

CoRR, 2020

An Unsupervised Detection Approach for Hardware Trojans.

Chen Dong, Yulin Liu, Jinghui Chen, Ximeng Liu, Wenzhong Guo, Yuzhong Chen

IEEE Access, 2020

RayS: A Ray Searching Method for Hard-label Adversarial Attack.

Jinghui Chen, Quanquan Gu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models.

Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks.

Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things.

Chen Dong, Jinghui Chen, Wenzhong Guo, Jian Zou

Int. J. Distributed Sens. Networks, 2019

A method for indoor Wi-Fi location based on improved back propagation neural network.

Jinghui Chen, Chen Dong, Guorong He, Xiaoyu Zhang

Turkish J. Electr. Eng. Comput. Sci., 2019

2018

A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks.

Jinghui Chen, Jinfeng Yi, Quanquan Gu

CoRR, 2018

Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks.

Jinghui Chen, Quanquan Gu

CoRR, 2018

Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization.

Pan Xu, Jinghui Chen, Difan Zou, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

How do practitioners perceive assurance cases in safety-critical software systems?

Jinghui Chen, Micayla Goodrum, Ronald A. Metoyer, Jane Cleland-Huang

Proceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering, 2018

Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization.

Jinghui Chen, Pan Xu, Lingxiao Wang, Jian Ma, Quanquan Gu

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization.

Pan Xu, Jinghui Chen, Quanquan Gu

CoRR, 2017

Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption.

Jinghui Chen, Lingxiao Wang, Xiao Zhang, Quanquan Gu

CoRR, 2017

Outlier Detection with Autoencoder Ensembles.

Jinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization.

Jinghui Chen, Quanquan Gu

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization.

Jinghui Chen, Quanquan Gu

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2015

Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers.

Florian Baumann, Jinghui Chen, Karsten Vogt, Bodo Rosenhahn

Proceedings of the 12th Conference on Computer and Robot Vision, 2015

2012

Depth map compression via edge-based inpainting.

Jinghui Chen, Feng Ye, Jinhong Di, Chun Liu, Aidong Men

Proceedings of the 2012 Picture Coding Symposium, 2012

2010

The study of network layer topology discovery algorithm for optimization problem based on SNMP.

Xiaoping Li, Jinghui Chen, Yinxing Li, Qiong Xu

Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2010

2007

Clustering Spatial Data with Obstacles Constraints by PSO.

Xueping Zhang, Fen Qin, Jiayao Wang, Yongheng Fu, Jinghui Chen

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007