Training RBF Neural Network with Hybrid Particle Swarm Optimization. - Haichang Gao; Boqin Feng; Yun Hou; Li Zhu (ISNN (1), 2006)

YAGP: Yet Another Graphical Password Strategy. - Haichang Gao; Xuewu Guo; Xiaoping Chen; Liming Wang; Xiyang Liu (ACSAC, 2008)

Multiobjective Optimization Using Clustering Based Two Phase PSO. - Haichang Gao; Weizhou Zhong (ICNC (6), 2008)

Web Service Selection Algorithm Based on Particle Swarm Optimization. - Hong Xia; Yan Chen; Zengzhi Li; Haichang Gao; Yanping Chen 006 (DASC, 2009)

Analysis and Evaluation of the ColorLogin Graphical Password Scheme. - Haichang Gao; Xiyang Liu; Ruyi Dai; Sidong Wang; Xiuling Chang (ICIG, 2009)

A new graphical password scheme against spyware by using CAPTCHA. - Haichang Gao; Xiyang Liu (SOUPS, 2009)

Against Spyware Using CAPTCHA in Graphical Password Scheme. - Liming Wang; Xiuling Chang; Zhongjie Ren; Haichang Gao; Xiyang Liu; Uwe Aickelin (AINA, 2010)

The effect of baroque music on the PassPoints graphical password. - Haichang Gao; Zhongjie Ren; Xiuling Chang; Xiyang Liu; Uwe Aickelin (CIVR, 2010)

A Novel Image Based CAPTCHA Using Jigsaw Puzzle. - Haichang Gao; Dan Yao; Honggang Liu; Xiyang Liu; Liming Wang (CSE, 2010)

A New Graphical Password Scheme Resistant to Shoulder-Surfing. - Haichang Gao; Zhongjie Ren; Xiuling Chang; Xiyang Liu; Uwe Aickelin (CW, 2010)

Can Background Baroque Music Help to Improve the Memorability of Graphical Passwords? - Haichang Gao; Xiuling Chang; Zhongjie Ren; Uwe Aickelin; Liming Wang (ICIAR (2), 2010)

A Novel Cued-recall Graphical Password Scheme. - Xiyang Liu; Jinhua Qiu; Licheng Ma; Haichang Gao; Zhongjie Ren (ICIG, 2011)

Exploration of a hand-based graphical password scheme. - Haichang Gao; Licheng Ma; Jinhua Qiu; Xiyang Liu (SIN, 2011)

An Enhanced Drawing Reproduction Graphical Password Strategy. - Xiyang Liu; Haichang Gao; Liming Wang; Xiuling Chang (J. Comput. Sci. Technol., 2011)

Divide and Conquer: An Efficient Attack on Yahoo! CAPTCHA. - Haichang Gao; Wei Wang; Ye Fan (TrustCom, 2012)

Multiple password interference in graphical passwords. - Haichang Gao; Licheng Ma; Wei Jia; Fei Ye (Int. J. Inf. Comput. Secur., 2012)

The robustness of hollow CAPTCHAs. - Haichang Gao; Wei Wang; Jiao Qi; Xuqin Wang; Xiyang Liu; Jeff Yan (CCS, 2013)

The Hot-Spots Problem in Windows 8 Graphical Password Scheme. - Haichang Gao; Wei Jia; Ning Liu; Kaisheng Li (CSS, 2013)

Usability and Security of the Recall-Based Graphical Password Schemes. - Haichang Gao; Ning Liu; Kaisheng Li; Jinhua Qiu (HPCC/EUC, 2013)

An audio CAPTCHA to distinguish humans from computers. - Haichang Gao; Honggang Liu; Dan Yao; Xiyang Liu; Uwe Aickelin (CoRR, 2013)

Draw a line on your PDA to authenticate. - Xiyang Liu; Zhongjie Ren; Xiuling Chang; Haichang Gao; Uwe Aickelin (CoRR, 2013)

A survey on the use of graphical passwords in security. - Haichang Gao; Wei Jia; Fei Ye; Licheng Ma (J. Softw., 2013)

The Robustness of "Connecting Characters Together" CAPTCHAs. - Haichang Gao; Wei Wang; Ye Fan; Jiao Qi; Xiyang Liu (J. Inf. Sci. Eng., 2014)

The Robustness of Face-Based CAPTCHAs. - Haichang Gao; Lei Lei; Xin Zhou; Jiawei Li; Xiyang Liu (CIT/IUCC/DASC/PICom, 2015)

A Simple Generic Attack on Text Captchas. - Haichang Gao; Jeff Yan; Fang Cao; Zhengya Zhang; Lei Lei; Mengyun Tang; Ping Zhang; Xin Zhou; Xuqin Wang; Jiawei Li (NDSS, 2016)

Robustness of text-based completely automated public turing test to tell computers and humans apart. - Haichang Gao; Xuqin Wang; Fang Cao; Zhengya Zhang; Lei Lei; Jiao Qi; Xiyang Liu (IET Inf. Secur., 2016)

Two Novel Image-Based CAPTCHA Schemes Based on Visual Effects. - Ping Zhang; Haichang Gao; Zhouhang Cheng; Fang Cao (CCCV (3), 2017)

Research on the Security of Microsoft's Two-Layer Captcha. - Haichang Gao; Mengyun Tang; Yi Liu 042; Ping Zhang; Xiyang Liu (IEEE Trans. Inf. Forensics Secur., 2017)

Effect of Adversarial Examples on the Robustness of CAPTCHA. - Yang Zhang; Haichang Gao; Ge Pei; Shuai Kang; Xin Zhou (CyberC, 2018)

Research on Text Location and Recognition in Natural Images with Deep Learning. - Ping Zhang; Ziyu Shi; Haichang Gao (ICAAI, 2018)

Research on Deep Learning Techniques in Breaking Text-Based Captchas and Designing Image-Based Captcha. - Mengyun Tang; Haichang Gao; Yang Zhang; Yi Liu 042; Ping Zhang; Ping Wang 027 (IEEE Trans. Inf. Forensics Secur., 2018)

Is Satellite Image Target Camouflage Still Valid Under Deep Learning Target Detection? - Shuai Kang; Haichang Gao; Yiwen Tang; Yi Liu; Jiaming Chen (ICAIP, 2019)

A Survey of Research on CAPTCHA Designing and Breaking Techniques. - Yang Zhang; Haichang Gao; Ge Pei; Sainan Luo; Guoqin Chang; Nuo Cheng (TrustCom/BigDataSE, 2019)

Image-based CAPTCHAs based on neural style transfer. - Zhouhang Cheng; Haichang Gao; Zhongyu Liu; Huaxi Wu; Yang Zi; Ge Pei (IET Inf. Secur., 2019)

Breaking Text-based CAPTCHAs using Average Vertical Partition. - Xiyang Liu; Yang Zhang; Jing Hu; Mengyun Tang; Haichang Gao (J. Inf. Sci. Eng., 2019)

WordChange: Adversarial Examples Generation Approach for Chinese Text Classification. - Nuo Cheng; Guoqin Chang; Haichang Gao; Ge Pei; Yang Zhang (IEEE Access, 2020)

Simple and Easy: Transfer Learning-Based Attacks to Text CAPTCHA. - Ping Wang 027; Haichang Gao; Ziyu Shi; Zhongni Yuan; Jiangping Hu (IEEE Access, 2020)

Feature Pooling - A Feature Compression Method Used in Convolutional Neural Networks. - Ge Pei; Haichang Gao; Xin Zhou; Nuo Cheng (J. Inf. Sci. Eng., 2020)

An End-to-End Attack on Text CAPTCHAs. - Yang Zi; Haichang Gao; Zhouhang Cheng; Yi Liu 042 (IEEE Trans. Inf. Forensics Secur., 2020)

Research on the Security of Visual Reasoning CAPTCHA. - Yipeng Gao; Haichang Gao; Sainan Luo; Yang Zi; Shudong Zhang; Wenjie Mao; Ping Wang 003; Yulong Shen; Jeff Yan (USENIX Security Symposium, 2021)

Universal Optimization Strategies for Object Detection Networks. - Ziyu Shi; Haichang Gao; Yiwen Tang; Han Zheng; Shuai Kang; Yi Liu (Int. J. Pattern Recognit. Artif. Intell., 2021)

A Security Analysis of Captchas With Large Character Sets. - Ping Wang 027; Haichang Gao; Qingxun Rao; Sainan Luo; Zhongni Yuan; Ziyu Shi (IEEE Trans. Dependable Secur. Comput., 2021)

Defense Against Adversarial Attacks by Reconstructing Images. - Shudong Zhang; Haichang Gao; Qingxun Rao (IEEE Trans. Image Process., 2021)

Consistency Regularization Helps Mitigate Robust Overfitting in Adversarial Training. - Shudong Zhang; Haichang Gao; Yunyi Zhou; Zihui Wu; Yiwen Tang (KSEM (3), 2022)

Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization. - Shudong Zhang; Haichang Gao; Tianwei Zhang 004; Yunyi Zhou; Zihui Wu (CoRR, 2022)

Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training. - Zihui Wu; Haichang Gao; Bingqian Zhou; Xiaoyan Guo; Shudong Zhang (CoRR, 2022)

A deep learning-based attack on text CAPTCHAs by using object detection techniques. - Jiawei Nian; Ping Wang 027; Haichang Gao; Xiaoyan Guo (IET Inf. Secur., 2022)

TransNoise: Transferable Universal Adversarial Noise for Adversarial Attack. - Yier Wei; Haichang Gao; Yufei Wang; Huan Liu; Yipeng Gao; Sainan Luo; Qianwen Guo (ICANN (5), 2023)

AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness. - Zihui Wu; Haichang Gao; Bingqian Zhou; Ping Wang 027 (CoRR, 2023)

SoK: Acoustic Side Channels. - Ping Wang 003; Shishir Nagaraja; Aurélien Bourquard; Haichang Gao; Jeff Yan (CoRR, 2023)

An Experimental Investigation of Text-based CAPTCHA Attacks and Their Robustness. - Ping Wang 027; Haichang Gao; Xiaoyan Guo; Chenxuan Xiao; Fuqi Qi; Zheng Yan 002 (ACM Comput. Surv., 2023)

Extended Research on the Security of Visual Reasoning CAPTCHA. - Ping Wang 027; Haichang Gao; Chenxuan Xiao; Xiaoyan Guo; Yipeng Gao; Yang Zi (IEEE Trans. Dependable Secur. Comput., 2023)

TextGuise: Adaptive adversarial example attacks on text classification model. - Guoqin Chang; Haichang Gao; Zhou Yao; Haoquan Xiong (Neurocomputing, 2023)

A lightweight backdoor defense framework based on image inpainting. - Yier Wei; Haichang Gao; Yufei Wang; Yipeng Gao; Huan Liu (Neurocomputing, 2023)

Manto: A Practical and Secure Inference Service of Convolutional Neural Networks for IoT. - Ke Cheng 001; Jiaxuan Fu; Yulong Shen 001; Haichang Gao; Ning Xi 002; Zhiwei Zhang; Xinghui Zhu (IEEE Internet Things J., 2023)

Private Inference for Deep Neural Networks: A Secure, Adaptive, and Efficient Realization. - Ke Cheng 001; Ning Xi 002; Ximeng Liu; Xinghui Zhu; Haichang Gao; Zhiwei Zhang; Yulong Shen 001 (IEEE Trans. Computers, 2023)

Enhancing Data-Free Model Stealing Attack on Robust Models. - Jianping He 008; Haichang Gao; Yunyi Zhou (IJCNN, 2024)

A Transferable Adversarial Attack against Object Detection Networks. - Yier Wei; Haichang Gao; Xingyi Quan; Guotu Luo (IJCNN, 2024)

Adversarial Machine Learning for Detecting Advanced Threats Inspired by StuxNet in Critical Infrastructure Networks. - Hafiz Bilal Ahmad; Haichang Gao; Naila Latif; Abdul Aziiz; Muhammad Auraangzeb; Muhammad Tanveer Khan (ISDFS, 2024)

Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization. - Zihui Wu; Haichang Gao; Ping Wang 003; Shudong Zhang; Zhaoxiang Liu; Shiguo Lian (CoRR, 2024)

The robustness of behavior-verification-based slider CAPTCHAs. - Guoqin Chang; Haichang Gao; Ge Pei; Sainan Luo; Yang Zhang; Nuo Cheng; Yiwen Tang; Qianwen Guo (J. Inf. Secur. Appl., 2024)

Improving the Security of Audio CAPTCHAs With Adversarial Examples. - Ping Wang 027; Haichang Gao; Xiaoyan Guo; Zhongni Yuan; Jiawei Nian (IEEE Trans. Dependable Secur. Comput., 2024)

Black-box Bayesian adversarial attack with transferable priors. - Shudong Zhang; Haichang Gao; Chao Shu; Xiwen Cao; Yunyi Zhou; Jianping He 008 (Mach. Learn., 2024)

A Stability-Enhanced Dynamic Backdoor Defense in Federated Learning for IIoT. - Zhixuan Ma; Haichang Gao; Shangwen Li; Ping Wang 027 (IEEE Trans. Ind. Informatics, 2024)

The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models. - Zihui Wu; Haichang Gao; Jianping He 008; Ping Wang 027 (COLING, 2025)

HumorReject: Decoupling LLM Safety from Refusal Prefix via A Little Humor. - Zihui Wu; Haichang Gao; Jiacheng Luo; Zhaoxiang Liu (CoRR, 2025)

Whispers of Data: Unveiling Label Distributions in Federated Learning Through Virtual Client Simulation. - Zhixuan Ma; Haichang Gao; Junxiang Huang; Ping Wang 027 (CoRR, 2025)