Xiaohui Kuang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 89

Top Topics

Reinforcement Learning

Object Detectors

Top Venues

Publications

Wei Kong, Hu Li, Qianjin Du, Huayang Cao, Xiaohui Kuang
A New Perspective of Deep Learning Testing Framework: Human-Computer Interaction Based Neural Network Testing. ICRA (2024)
Ming Zhang, Yongkang Chen, Hu Li, Cheng Qian, Xiaohui Kuang
Dynamic loss yielding more transferable targeted adversarial examples. Neurocomputing 590 (2024)
Tong Wang, Taotao Gu, Huan Deng, Hu Li, Xiaohui Kuang, Gang Zhao
Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing. CoRR (2024)
Jingjing Wang, Minhuan Huang, Yuanping Nie, Xiaohui Kuang, Xiang Li, Wenjing Zhong
Fine-Grained Source Code Vulnerability Detection via Graph Neural Networks (S). SEKE (2023)
Qianjin Du, Xiaohui Kuang, Xiang Li, Gang Zhao
Fine-Grained Software Vulnerability Detection via Neural Architecture Search. DASFAA (4) (2023)
Hu Li, Qiongmin Ma, Ming Zhang, Xiaohui Kuang
Machine Learning Security Analysis Framework Based on Threat Matrix. DSC (2023)
Tong Wang, Xiaohui Kuang, Hu Li, Qianjin Du, Zhanhao Hu, Huan Deng, Gang Zhao
Driving into Danger: Adversarial Patch Attack on End-to-End Autonomous Driving Systems Using Deep Learning. ISCC (2023)
Wei Kong, Qianjin Du, Huayang Cao, Hu Li, Tong Wang, Jianwen Tian, Xiaohui Kuang
Test Suite Generation Based on Context-Adapted Structural Coverage for Testing DNN. APNOMS (2023)
Qianjin Du, Wei Kun, Xiaohui Kuang, Xiang Li, Gang Zhao
Automated Software Vulnerability Detection via Curriculum Learning. ICME (2023)
Qianjin Du, Shiji Zhou, Xiaohui Kuang, Gang Zhao, Jidong Zhai
Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. EMNLP (2023)
Yaning Zheng, Dongxia Wang, Huayang Cao, Cheng Qian, Xiaohui Kuang, Honglin Zhuang
A Study on Vulnerability Code Labeling Method in Open-Source C Programs. DEXA (1) (2023)
Tengchao Ma, Changqiao Xu, Shujie Yang, Yiting Huang, Qingzhao An, Xiaohui Kuang, Luigi Alfredo Grieco
A Mutation-Enabled Proactive Defense Against Service-Oriented Man-in-The-Middle Attack in Kubernetes. IEEE Trans. Computers 72 (7) (2023)
Tao Zhang, Changqiao Xu, Ping Zou, Haijiang Tian, Xiaohui Kuang, Shujie Yang, Lujie Zhong, Dusit Niyato
How to Mitigate DDoS Intelligently in SD-IoV: A Moving Target Defense Approach. IEEE Trans. Ind. Informatics 19 (1) (2023)
Zan Zhou, Changqiao Xu, Ming-Ze Wang, Xiaohui Kuang, Yirong Zhuang, Shui Yu
A Multi-Shuffler Framework to Establish Mutual Confidence for Secure Federated Learning. IEEE Trans. Dependable Secur. Comput. 20 (5) (2023)
Jiahe Ji, Wei Kong, Jianwen Tian, Taotao Gu, Yuanping Nie, Xiaohui Kuang
Survey on Fuzzing Techniques in Deep Learning Libraries. DSC (2023)
Huan Deng, Minhuan Huang, Tong Wang, Hu Li, Jianwen Tian, Qian Yan, Xiaohui Kuang
ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving. ICONIP (13) (2023)
Jianwen Tian, Kefan Qiu, Debin Gao, Zhi Wang, Xiaohui Kuang, Gang Zhao
Sparsity Brings Vulnerabilities: Exploring New Metrics in Backdoor Attacks. USENIX Security Symposium (2023)
Tao Zhang, Changqiao Xu, Yibo Lian, Haijiang Tian, Jiawen Kang, Xiaohui Kuang, Dusit Niyato
When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach. IEEE J. Sel. Areas Commun. 41 (10) (2023)
Tong Wang, Xiaohui Kuang, Huan Deng, Taotao Gu, Wei Kong, Jianwen Tian, Gang Zhao
Risk Scenario Generation for Autonomous Driving Systems based on Scenario Evaluation Model. IJCNN (2023)
Tao Zhang, Changqiao Xu, Bingchi Zhang, Xinran Li, Xiaohui Kuang, Luigi Alfredo Grieco
Towards Attack-Resistant Service Function Chain Migration: A Model-Based Adaptive Proximal Policy Optimization Approach. IEEE Trans. Dependable Secur. Comput. 20 (6) (2023)
Tao Zhang, Changqiao Xu, Jiahao Shen, Xiaohui Kuang, Luigi Alfredo Grieco
How to Disturb Network Reconnaissance: A Moving Target Defense Approach Based on Deep Reinforcement Learning. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Shangyuan Zhuang, Jiyan Sun, Hangsheng Zhang, Xiaohui Kuang, Ling Pang, Haitao Liu, Yinlong Liu
StinAttack: A Lightweight and Effective Adversarial Attack Simulation to Ensemble IDSs for Satellite- Terrestrial Integrated Network. ISCC (2022)
Ming Zhang, Xiaohui Kuang, Hu Li, Zhendong Wu, Yuanping Nie, Gang Zhao
Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients. IJCAI (2022)
Yucheng Shi, Yahong Han, Yu-an Tan, Xiaohui Kuang
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. NeurIPS (2022)
Mingyuan Ma, Hu Li, Xiaohui Kuang
Detecting Backdoor Attacks on Deep Neural Networks Based on Model Parameters Analysis. ICTAI (2022)
Xuewei Feng, Qi Li, Kun Sun, Zhiyun Qian, Gang Zhao, Xiaohui Kuang, Chuanpu Fu, Ke Xu
Off-Path Network Traffic Manipulation via Revitalized ICMP Redirect Attacks. USENIX Security Symposium (2022)
Qikun Zhang, Kunyuan Zhao, Xiaohui Kuang, Yongjiao Li, Yuanpan Zheng, Junling Yuan, Ruifang Wang
Multidomain security authentication for the Internet of things. Concurr. Comput. Pract. Exp. 34 (16) (2022)
Chenxu Wang, Ming Zhang, Jinjing Zhao, Xiaohui Kuang
Black-Box Adversarial Attacks on Deep Neural Networks: A Survey. ICDIS (2022)
Tengchao Ma, Changqiao Xu, Shujie Yang, Yiting Huang, Xiaohui Kuang, Hong Tang, Luigi Alfredo Grieco
An intelligent proactive defense against the client-side DNS cache poisoning attack via self-checking deep reinforcement learning. Int. J. Intell. Syst. 37 (10) (2022)
Tao Zhang, Changqiao Xu, Bingchi Zhang, Jiahao Shen, Xiaohui Kuang, Luigi Alfredo Grieco
Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Taotao Gu, Xiang Li, Shuaibing Lu, Jianwen Tian, Yuanping Nie, Xiaohui Kuang, Zhechao Lin, Chenyifan Liu, Jie Liang, Yu Jiang
Group-based corpus scheduling for parallel fuzzing. ESEC/SIGSOFT FSE (2022)
Tengchao Ma, Changqiao Xu, Qingzhao An, Xiaohui Kuang, Lujie Zhong, Luigi Alfredo Grieco
A Proactive Defense Strategy Against SGX Side-channel Attacks via self-checking DRL in the Cloud. ICC (2022)
Qianjin Du, Xiaohui Kuang, Gang Zhao
Code Vulnerability Detection via Nearest Neighbor Mechanism. EMNLP (Findings) (2022)
Yongkang Chen, Ming Zhang, Jin Li, Xiaohui Kuang, Xuhong Zhang, Han Zhang
Dynamic and Diverse Transformations for Defending Against Adversarial Examples. TrustCom (2022)
Chenxu Wang, Ming Zhang, Jinjing Zhao, Xiaohui Kuang, Han Zhang, Xuhong Zhang
A Data-free Black-box Attack for Generating Transferable Adversarial Examples. HPCC/DSS/SmartCity/DependSys (2022)
Zhi Wang, Leshi Shao, Kai Cheng, Yuanzhao Liu, Jianan Jiang, Yuanping Nie, Xiang Li, Xiaohui Kuang
ICDF: Intrusion collaborative detection framework based on confidence. Int. J. Intell. Syst. 37 (10) (2022)
Yabin Li, Yuanping Nie, Xiaohui Kuang
Fuzzing DBMS via NNLM. DSC (2022)
Changqiao Xu, Tao Zhang, Xiaohui Kuang, Zan Zhou, Shui Yu
Context-Aware Adaptive Route Mutation Scheme: A Reinforcement Learning Approach. IEEE Internet Things J. 8 (17) (2021)
Yutian Zhou, Yu-an Tan, Quanxin Zhang, Xiaohui Kuang, Yahong Han, Jingjing Hu
An Evolutionary-Based Black-Box Attack to Deep Neural Network Classifiers. Mob. Networks Appl. 26 (4) (2021)
Wei Kong, Huayang Cao, Jianwen Tian, Xiaohui Kuang
Detecting Adversarial Samples in Neural Network with Statistical Metrics: A Practical Approach. DSC (2021)
Yabin Li, Yinfan Qin, Jianwen Tian, Taotao Gu, Yuanping Nie, Xiaohui Kuang
Generating Highly Structured Inputs: A Survey. DSC (2021)
Yajie Wang, Haoran Lv, Xiaohui Kuang, Gang Zhao, Yu-an Tan, Quanxin Zhang, Jingjing Hu
Towards a physical-world adversarial patch for blinding object detection models. Inf. Sci. 556 (2021)
Xiaohui Kuang, Xianfeng Gao, Lianfang Wang, Gang Zhao, Lishan Ke, Quanxin Zhang
A discrete cosine transform-based query efficient attack on black-box object detectors. Inf. Sci. 546 (2021)
Haitao Zhang, Yucheng Shi, Benyu Dong, Yahong Han, Yuanzhang Li, Xiaohui Kuang
Free Adversarial Training with Layerwise Heuristic Learning. ICIG (2) (2021)
Jiahao Shen, Tao Zhang, Bingchi Zhang, Weixiao Ji, Xiaohui Kuang, Changqiao Xu
PPO-RM: Proximal Policy Optimization Based Route Mutation for Multimedia Services. IWCMC (2021)
Yinfan Qin, Xiang Li, Jianwen Tian, Taotao Gu, Xiaohui Kuang
Gradient-oriented gray-box protocol fuzzing. DSC (2021)
Xianmin Wang, Xiaohui Kuang, Jin Li, Jing Li, Xiaofeng Chen, Zheli Liu
Oblivious Transfer for Privacy-Preserving in VANET's Feature Matching. IEEE Trans. Intell. Transp. Syst. 22 (7) (2021)
Jingjing Hu, Shuangshuang Guo, Xiaohui Kuang, Fankun Meng, Dongsheng Hu, Zhiyu Shi
I-HMM-Based Multidimensional Network Security Risk Assessment. IEEE Access 8 (2020)
Tao Zhang, Changqiao Xu, Bingchi Zhang, Xiaohui Kuang, Yue Wang, Shujie Yang, Gabriel-Miro Muntean
DQ-RM: Deep Reinforcement Learning-based Route Mutation Scheme for Multimedia Services. IWCMC (2020)
Haitao Zhang, Fan Jia, Quanxin Zhang, Yahong Han, Xiaohui Kuang, Yu-an Tan
Two-Way Feature-Aligned And Attention-Rectified Adversarial Training. ICME (2020)
Xiangxiang Jiang, Yuxi Ma, Gang Zhao, Xiaohui Kuang, Yuanzhang Li, Ruyun Zhang
A File-Level Continuous Data Protection Scheme for Enforcing Security Baseline. ML4CS (1) (2020)
Jing Li, Xiaohui Kuang, Shujie Lin, Xu Ma, Yi Tang
Privacy preservation for machine learning training and classification based on homomorphic encryption schemes. Inf. Sci. 526 (2020)
Yucheng Shi, Yahong Han, Quanxin Zhang, Xiaohui Kuang
Adaptive iterative attack towards explainable adversarial robustness. Pattern Recognit. 105 (2020)
Cheng Qian, Ming Zhang, Xiaohui Kuang, Gang Zhao
A Study on Mesh Hybrid Memory Cube Network. ISPASS (2020)
Shuaibing Lu, Xiaohui Kuang, Yuanping Nie, Zhechao Lin
A Hybrid Interface Recovery Method for Android Kernels Fuzzing. QRS (2020)
Yajie Wang, Yu-an Tan, Wenjiao Zhang, Yuhang Zhao, Xiaohui Kuang
An adversarial attack on DNN-based black-box object detectors. J. Netw. Comput. Appl. 161 (2020)
Meng Ming, Gang Zhao, Xiaohui Kuang, Lu Liu, Ruyun Zhang
An Adaptive Data Protection Scheme for Optimizing Storage Space. ML4CS (2) (2020)
Xiang Li, Yuanping Nie, Zhi Wang, Xiaohui Kuang, Kefan Qiu, Cheng Qian, Gang Zhao
BMOP: Bidirectional Universal Adversarial Learning for Binary OpCode Features. Wirel. Commun. Mob. Comput. 2020 (2020)
Jianping Yu, Gang Zhao, Xiaohui Kuang, Ruyun Zhang
A Real-Time Audio and Video Streaming Transmission Scheme for Social Media. SocialSec (2020)
Ming Yan, Bo Zhang, Gang Zhao, Xiaohui Kuang, Lu Liu, Ruyun Zhang
An Intelligent File Transfer Optimization for Poor Network Conditions. SocialSec (2020)
Zan Zhou, Changqiao Xu, Tengchao Ma, Xiaohui Kuang
Multi-vNIC Intelligent Mutation: A Moving Target Defense to thwart Client-side DNS Cache Attack. ICC (2020)
Lianfang Wang, Ye Wang, Gang Zhao, Lu Liu, Xiaohui Kuang
Keeping Privacy Data Secure Under Factory Recovery. SocialSec (2020)
Ming Zhang, Hu Li, Xiaohui Kuang, Yuanping Nie, Cheng Qian, Zhendong Wu, Gang Zhao
Non-norm-bounded Attack for Generating Adversarial Examples. ICONIP (5) (2020)
Tengchao Ma, Changqiao Xu, Zan Zhou, Xiaohui Kuang, Lujie Zhong, Luigi Alfredo Grieco
Intelligent-driven Adapting Defense Against the Client-side DNS Cache Poisoning in the Cloud. GLOBECOM (2020)
Shuo Feng, Yu-an Tan, Gang Zhao, Xiaohui Kuang, Xiao Yu, Juan Wang
A VirtualXposed-Based Inline Hooking Framework for Android Native Methods. SocialSec (2020)
Kai Yang, Ling Pang, Bo Zhang, Gang Zhao, Xiaohui Kuang
An Android Data Protection Scheme for System-as-Root Architectures. SocialSec (2020)
Xuewei Feng, Dongxia Wang, Zhechao Lin, Xiaohui Kuang, Gang Zhao
Enhancing Randomization Entropy of x86-64 Code while Preserving Semantic Consistency. TrustCom (2020)
Zan Zhou, Xiaohui Kuang, Limin Sun, Lujie Zhong, Changqiao Xu
Endogenous Security Defense against Deductive Attack: When Artificial Intelligence Meets Active Defense for Online Service. IEEE Commun. Mag. 58 (6) (2020)
Xianmin Wang, Jing Li, Xiaohui Kuang, Yu-an Tan, Jin Li
The security of machine learning in an adversarial setting: A survey. J. Parallel Distributed Comput. 130 (2019)
Xiaohui Kuang, Hongyi Liu, Ye Wang, Qikun Zhang, Quanxin Zhang, Jun Zheng
A CMA-ES-Based Adversarial Attack on Black-Box Deep Neural Networks. IEEE Access 7 (2019)
Xiaohui Kuang, Ming Zhang, Hu Li, Gang Zhao, Huayang Cao, Zhendong Wu, Xianmin Wang
DeepWAF: Detecting Web Attacks Based on CNN and LSTM Models. CSS (2) (2019)
Feng Guo, Qingjie Zhao, Xuan Li, Xiaohui Kuang, Jianwei Zhang, Yahong Han, Yu-an Tan
Detecting adversarial examples via prediction difference for deep neural networks. Inf. Sci. 501 (2019)
Tengchao Ma, Changqiao Xu, Zan Zhou, Xiaohui Kuang, Lujie Zhong
SE-PSO: Resource Scheduling Strategy for Multimedia Cloud Platform Based on Security Enhanced Virtual Migration. IWCMC (2019)
Tao Zhang, Xiaohui Kuang, Zan Zhou, Hongquan Gao, Changqiao Xu
An Intelligent Route Mutation Mechanism against Mixed Attack Based on Security Awareness. GLOBECOM (2019)
Qiang Liu, Xiaohui Kuang, Hua Chen, Xiang Li, Guangke Li
一种基于程序切片相似度匹配的脆弱性发现方法 (Vulnerability Discovery Approach Based on Similarity Matching of Program Slicing). 计算机科学 46 (7) (2019)
Ming Zhang, Hu Li, Xiaohui Kuang, Ling Pang, Zhendong Wu
Neuron Selecting: Defending Against Adversarial Examples in Deep Neural Networks. ICICS (2019)
Zan Zhou, Changqiao Xu, Xiaohui Kuang, Tao Zhang, Limin Sun
An Efficient and Agile Spatio-Temporal Route Mutation Moving Target Defense Mechanism. ICC (2019)
Xinxin Wang, Yuanzhang Li, Quanxin Zhang, Xiaohui Kuang
Boosting Training for PDF Malware Classifier via Active Learning. CSS (2) (2019)
Jinjing Zhao, Yan Wen, Xiang Li, Ling Pang, Xiaohui Kuang, Dongxia Wang
A heuristic fuzz test generator for Java native interface. SQUADE@ESEC/SIGSOFT FSE (2019)
Aming Wu, Yahong Han, Quanxin Zhang, Xiaohui Kuang
Untargeted Adversarial Attack via Expanding the Semantic Gap. ICME (2019)
Yaxiao Wang, Yuanzhang Li, Quanxin Zhang, Jingjing Hu, Xiaohui Kuang
Evading PDF Malware Classifiers with Generative Adversarial Network. CSS (1) (2019)
Jinjing Zhao, Ling Pang, Xiaohui Kuang, Rong Jin
Balancing the QOS and Security in Dijkstra Algorithm by SDN Technology. NPC (2018)
Xiaohui Kuang, Jin Li, Fei Xu
Network Traffic Generator Based on Distributed Agent for Large-Scale Network Emulation Environment. IScIDE (2018)
Liang Ming, Gang Zhao, Minhuan Huang, Xiaohui Kuang, Jingzhe Zhang, Huayang Cao, Fei Xu
A General Testing Framework Based on Veins for Securing VANET Applications. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Honghao Yang, Dong Liang, Xiaohui Kuang, Changqiao Xu
A Vulnerability Test Method for Speech Recognition Systems Based on Frequency Signal Processing. DSC (2018)
Liang Ming, Gang Zhao, Minhuan Huang, Xiaohui Kuang, Hu Li, Ming Zhang
Security Analysis of Intelligent Transportation Systems Based on Simulation Data. ICDIS (2018)
Zhechao Lin, Xiang Li, Xiaohui Kuang
Machine Learning in Vulnerability Databases. ISCID (1) (2017)
Xiaohui Kuang, Jin Li, Gang Zhao
一种基于多层拓扑的大规模分布式系统结构脆弱性分析算法 (Multilayer Topology Structural Vulnerability Analysis Algorithm for Large-scale Distributed System). 计算机科学 43 (8) (2016)
Jie Gong, Xiaohui Kuang, Qiang Liu
Survey on Software Vulnerability Analysis Method Based on Machine Learning. DSC (2016)
Xiaohui Kuang, Li Liu, Qiang Liu, Xiang Li
A clustering approach based on convergence degree chain for wireless sensor networks. Secur. Commun. Networks 8 (10) (2015)
Xiaohui Kuang, Bowen Li, Li Liu
On Effectiveness of Clustering Principles in Maximizing Wireless Sensor Network Lifespan. WASA (2014)
Xiaohui Kuang, Xiang Li, Jinjing Zhao
Architecture of Network Environment for High-Risk Security Experimentation. ICT-EurAsia (2013)
Qiang Liu, Li Liu, Xiaohui Kuang, Yan Wen
Secure Service and Management for Security-Critical Wireless Sensor Network. IMIS (2012)
Liang Ming, Minhuan Huang, Dongxia Wang, Xiaohui Kuang, Chunlei Wang, Xuewei Feng
Research on survivability metrics based on survivable process of network system. SIN (2011)
Yan Wen, Minhuan Huang, Jinjing Zhao, Xiaohui Kuang
Implicit detection of stealth software with a local-booted virtual machine. ICIS (2010)
Minhuan Huang, Xiaohui Kuang, Wen Yan, Tang Hong, Xu Fei
Research on Technologies of Building Experimental Environment for Network Worm Simulation. ICPADS (2009)
Gang Zhao, Xiaohui Kuang, Weimin Zheng
An Emulation Environment for Vulnerability Analysis of Large-Scale Distributed System. GCC (2009)
Guangming Hu, Xiaohui Kuang, Zhenghu Gong
A Cluster-Based Group Rekeying Algorithm in Mobile Ad Hoc Networks. ICCNMC (2005)