Zhen Xiang

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 48

Top Topics

Reverse Engineer

Allocation Strategy

Top Venues

Publications

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs. CoRR (2024)
Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR (2024)
Zhenyang Ni, Rui Ye, Yuxi Wei, Zhen Xiang, Yanfeng Wang, Siheng Chen
Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models. CoRR (2024)
Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models. CoRR (2024)
Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases. CoRR (2024)
Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models. ICLR (2024)
Xi Li, David J. Miller, Zhen Xiang, George Kesidis
A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers. MLSP (2023)
Zhen Xiang, Zidi Xiong, Bo Li
CBD: A Certified Backdoor Detector Based on Local Dominant Probability. CoRR (2023)
Zhen Xiang, Zidi Xiong, Bo Li
UMD: Unsupervised Model Detection for X2X Backdoor Attacks. ICML (2023)
Matthieu Schaller, Josh Borrow, Peter W. Draper, Mladen Ivkovic, Stuart McAlpine, Bert Vandenbroucke, Yannick Bahé, Evgenii Chaikin, Aidan B. G. Chalk, Tsang Keung Chan, Camila Correa, Marcel van Daalen, Willem Elbers, Pedro Gonnet, Loïc Hausammann, John C. Helly, Filip Husko, Jacob A. Kegerreis, Folkert S. J. Nobels, Sylvia Ploeckinger, Yves Revaz, William J. Roper, Sergio Ruiz-Bonilla, Thomas D. Sandnes, Yolan Uyttenhove, James S. Willis, Zhen Xiang
Swift: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications. CoRR (2023)
Hang Wang, Zhen Xiang, David J. Miller, George Kesidis
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection. CoRR (2023)
Yangheng Zhao, Zhen Xiang, Sheng Yin, Xianghe Pang, Siheng Chen, Yanfeng Wang
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception. CoRR (2023)
Zhen Xiang, Zidi Xiong, Bo Li
CBD: A Certified Backdoor Detector Based on Local Dominant Probability. NeurIPS (2023)
Hang Wang, Sahar Karami, Ousmane Dia, Hippolyt Ritter, Ehsan Emamjomeh-Zadeh, Jiahui Chen, Zhen Xiang, David J. Miller, George Kesidis
Training Set Cleansing of Backdoor Poisoning by Self-Supervised Representation Learning. ICASSP (2023)
Zhen Xiang, Zidi Xiong, Bo Li
UMD: Unsupervised Model Detection for X2X Backdoor Attacks. CoRR (2023)
Xi Li, Zhen Xiang, David J. Miller, George Kesidis
Backdoor Mitigation by Correcting the Distribution of Neural Activations. CoRR (2023)
Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
Detecting Backdoor Attacks against Point Cloud Classifiers. ICASSP (2022)
Xi Li, Zhen Xiang, David J. Miller, George Kesidis
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks. ICASSP (2022)
Zhen Xiang, David J. Miller, George Kesidis
Detection of Backdoors in Trained Classifiers Without Access to the Training Set. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Zhen Xiang, David J. Miller, George Kesidis
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios. CoRR (2022)
Zhen Xiang, Danhu Li, Guobiao Jia, Maojiao Ye
Velocity-Free Distributed Robust Nash Equilibrium Seeking By An Uncertainty and Disturbance Estimator Based Algorithm. IECON (2022)
Zhen Xiang, David J. Miller, George Kesidis
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios. ICLR (2022)
Hang Wang, Zhen Xiang, David J. Miller, George Kesidis
Universal Post-Training Backdoor Detection. CoRR (2022)
Danhu Li, Zhen Xiang, Maojiao Ye
Distributed Robust Nash Equilibrium Seeking for Double-Integrator-Type Players Without Velocity Measurements. ASCC (2022)
Hang Wang, S. Karami, O. Dia, H. Ritter, Ehsan Emamjomeh-Zadeh, J. Chen, Zhen Xiang, David J. Miller, George Kesidis
Training set cleansing of backdoor poisoning by self-supervised representation learning. CoRR (2022)
Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
A Backdoor Attack against 3D Point Cloud Classifiers. ICCV (2021)
Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
A Backdoor Attack against 3D Point Cloud Classifiers. CoRR (2021)
Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
Detecting Backdoor Attacks Against Point Cloud Classifiers. CoRR (2021)
Zhen Xiang, David J. Miller, Hang Wang, George Kesidis
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set. Neural Comput. 33 (5) (2021)
Zhen Xiang, David J. Miller, George Kesidis
Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing. Comput. Secur. 106 (2021)
Zhen Xiang, David J. Miller, George Kesidis
L-Red: Efficient Post-Training Detection of Imperceptible Backdoor Attacks Without Access to the Training Set. ICASSP (2021)
Xi Li, Zhen Xiang, David J. Miller, George Kesidis
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks. CoRR (2021)
Xi Li, David J. Miller, Zhen Xiang, George Kesidis
A BIC based Mixture Model Defense against Data Poisoning Attacks on Classifiers. CoRR (2021)
David J. Miller, Zhen Xiang, George Kesidis
Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks. Proc. IEEE 108 (3) (2020)
Zhen Xiang, David J. Miller, George Kesidis
L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set. CoRR (2020)
Zhen Xiang, David J. Miller, George Kesidis
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing. CoRR (2020)
Jian Yang, Zhen Xiang, Lisha Mou, Shumu Liu
Multimedia resource allocation strategy of wireless sensor networks using distributed heuristic algorithm in cloud computing environment. Multim. Tools Appl. 79 (47) (2020)
Xi Li, David J. Miller, Zhen Xiang, George Kesidis
A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers. DDDAS (2020)
Zhen Xiang, David J. Miller, George Kesidis
Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification. ICASSP (2020)
Weiqiang Liu, Maximilian John, Andreas Karrenbauer, Adam Allerhand, Fabrizio Lombardi, Michael Shulte, David J. Miller, Zhen Xiang, George Kesidis, Antti Oulasvirta, Niraj Ramesh Dayama, Morteza Shiripour
Scanning the Issue. Proc. IEEE 108 (3) (2020)
Zhen Xiang, David J. Miller, Hang Wang, George Kesidis
Revealing Perceptible Backdoors in DNNs, Without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic. MLSP (2020)
Tianfen Zhong, Nanchao Wang, Xue Shen, Da Xiao, Zhen Xiang, Dong Liu
Determination of Planetary Boundary Layer height with Lidar Signals Using Maximum Limited Height Initialization and Range Restriction (MLHI-RR). Remote. Sens. 12 (14) (2020)
Zhen Xiang, David J. Miller, George Kesidis
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic. CoRR (2019)
Zhen Xiang, David J. Miller, George Kesidis
A Benchmark Study Of Backdoor Data Poisoning Defenses For Deep Neural Network Classifiers And A Novel Defense. MLSP (2019)
Zhen Xiang, David J. Miller, George Kesidis
Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification. CoRR (2019)
David J. Miller, Zhen Xiang, George Kesidis
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks. CoRR (2019)
Zhen Xiang, David J. Miller
Locally optimal, delay-tolerant predictive source coding. CISS (2018)
David J. Miller, Xinyi Hu, Zhen Xiang, George Kesidis
A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters. CoRR (2018)
Zhen Xiang, Geb W. Thomas, Kristopher M. Thornburg, Nathalie Cabrol, Edmond Grin, Robert C. Anderson
Slope Perception from Monoscopic Field Images: Applications to Mobile Robot Navigation. J. Intell. Robotic Syst. 54 (4) (2009)
Kai Xiong, Zhen Xiang, Jianhong Ge
Evaluation of the Human Eye Glare after Strong Exposure. BMEI (1) (2008)
Jie Cao, Yanxiang Lan, Jianmin Li, Qiang Li, Xirong Li, Fuzong Lin, Xiaobing Liu, Linjie Luo, Wanli Peng, Dong Wang, Huiyi Wang, Zhikun Wang, Zhen Xiang, Jinhui Yuan, Bo Zhang, Jun Zhang, Leigang Zhang, Xiao Zhang, Wujie Zheng
Intelligent Multimedia Group of Tsinghua University at TRECVID 2006. TRECVID (2006)
Yu Tang, Kai-Tao He, Zhen Xiang, Yongbo Zhang, Ning Jing
NGG: A Service-Oriented Application Grid Architecture for National Geological Survey. GCC (1) (2003)