Rare Category Detection Forest. - Haiqin Weng; Zhenguang Liu; Kevin Chiew; Qinming He (KSEM, 2015)

Towards Evaluating the Security of Real-World Deployed Image CAPTCHAs. - Binbin Zhao; Haiqin Weng; Shouling Ji; Jianhai Chen; Ting Wang 006; Qinming He; Reheem Beyah (AISec@CCS, 2018)

Online E-Commerce Fraud: A Large-Scale Detection and Analysis. - Haiqin Weng; Zhao Li 007; Shouling Ji; Chen Chu; Haifeng Lu; Tianyu Du; Qinming He (ICDE, 2018)

Rare category exploration with noisy labels. - Haiqin Weng; Kevin Chiew; Zhenguang Liu; Qinming He; Roger Zimmermann (Expert Syst. Appl., 2018)

DeT: Defending Against Adversarial Examples via Decreasing Transferability. - Changjiang Li; Haiqin Weng; Shouling Ji; Jianfeng Dong; Qinming He (CSS (1), 2019)

CATS: Cross-Platform E-Commerce Fraud Detection. - Haiqin Weng; Shouling Ji; Fuzheng Duan; Zhao Li 007; Jianhai Chen; Qinming He; Ting Wang 006 (ICDE, 2019)

Towards understanding the security of modern image captchas and underground captcha-solving services. - Haiqin Weng; Binbin Zhao; Shouling Ji; Jianhai Chen; Ting Wang 006; Qinming He; Raheem Beyah (Big Data Min. Anal., 2019)

FDI: Quantifying Feature-based Data Inferability. - Shouling Ji; Haiqin Weng; Yiming Wu; Pan Zhou 001; Qinming He; Raheem Beyah; Ting Wang 006 (CoRR, 2019)

De-Health: All Your Online Health Information Are Belong to Us. - Shouling Ji; Qinchen Gu; Haiqin Weng; Qianjun Liu; Pan Zhou 001; Qinming He; Raheem Beyah; Ting Wang 006 (CoRR, 2019)

De-Health: All Your Online Health Information Are Belong to Us. - Shouling Ji; Qinchen Gu; Haiqin Weng; Qianjun Liu; Pan Zhou 001; Jing Chen 003; Zhao Li 007; Raheem Beyah; Ting Wang 006 (ICDE, 2020)

Privacy Leakage of Real-World Vertical Federated Learning. - Haiqin Weng; Juntao Zhang; Feng Xue; Tao Wei 002; Shouling Ji; Zhiyuan Zong (CoRR, 2020)

Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. - Ang Li 008; Qiuhong Ke; Xingjun Ma; Haiqin Weng; Zhiyuan Zong; Feng Xue; Rui Zhang 003 (IJCAI, 2021)

Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining. - Haiqin Weng; Shouling Ji; Changchang Liu; Ting Wang 006; Qinming He; Jianhai Chen (IEEE Trans. Cybern., 2021)

Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications. - Changjiang Li; Shouling Ji; Haiqin Weng; Bo Li 026; Jie Shi; Raheem Beyah; Shanqing Guo; Zonghui Wang; Ting Wang 006 (IEEE Trans. Dependable Secur. Comput., 2022)

A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices. - Binbin Zhao; Shouling Ji; Wei-Han Lee; Changting Lin; Haiqin Weng; Jingzheng Wu; Pan Zhou 001; Liming Fang 001; Raheem Beyah (IEEE Trans. Dependable Secur. Comput., 2022)

Devil in Disguise: Breaching Graph Neural Networks Privacy through Infiltration. - Lingshuo Meng; Yijie Bai; Yanjiao Chen; Yutong Hu 005; Wenyuan Xu 001; Haiqin Weng (CCS, 2023)

Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks. - Xue Wang; Zhibo Wang 001; Haiqin Weng; Hengchang Guo; Zhifei Zhang; Lu Jin; Tao Wei 002; Kui Ren 001 (ICCV, 2023)

VILLAIN: Backdoor Attacks Against Vertical Split Learning. - Yijie Bai; Yanjiao Chen; Hanlei Zhang; Wenyuan Xu 001; Haiqin Weng; Dou Goodman (USENIX Security Symposium, 2023)

FDINet: Protecting against DNN Model Extraction via Feature Distortion Index. - Hongwei Yao; Zheng Li; Haiqin Weng; Feng Xue; Kui Ren 001; Zhan Qin (CoRR, 2023)

How ChatGPT is Solving Vulnerability Management Problem. - Peiyu Liu 003; Junming Liu; Lirong Fu; Kangjie Lu; Yifan Xia; Xuhong Zhang 002; Wenzhi Chen; Haiqin Weng; Shouling Ji; Wenhai Wang (CoRR, 2023)

ProFake: Detecting Deepfakes in the Wild against Quality Degradation with Progressive Quality-adaptive Learning. - Huiyu Xu; Yaopeng Wang; Zhibo Wang 001; Zhongjie Ba; Wenxin Liu; Lu Jin; Haiqin Weng; Tao Wei 002; Kui Ren 001 (CCS, 2024)

Course-Correction: Safety Alignment Using Synthetic Preferences. - Rongwu Xu; Yishuo Cai; Zhenhong Zhou; Renjie Gu; Haiqin Weng; Liu Yan; Tianwei Zhang 004; Wei Xu 039; Han Qiu 001 (EMNLP (Industry Track), 2024)

Sophon: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models. - Jiangyi Deng; Shengyuan Pang; Yanjiao Chen; Liangming Xia; Yijie Bai; Haiqin Weng; Wenyuan Xu 001 (SP, 2024)

Exploring ChatGPT's Capabilities on Vulnerability Management. - Peiyu Liu 003; Junming Liu; Lirong Fu; Kangjie Lu; Yifan Xia; Xuhong Zhang 002; Wenzhi Chen; Haiqin Weng; Shouling Ji; Wenhai Wang (USENIX Security Symposium, 2024)

Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. - Huajie Zhang; Yuxin Ying; Fuzhen Zhuang; Haiqin Weng; Ying Sun 006; Zhao Zhang 011; Yiqi Tong; Yan Liu 069 (WWW (Companion Volume), 2024)

A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective. - Lei Yu; Meng Han; Yiming Li; Changting Lin; Yao Zhang; Mingyang Zhang; Yan Liu; Haiqin Weng; Yuseok Jeon; Ka-Ho Chow; Stacy Patterson (CoRR, 2024)

Course-Correction: Safety Alignment Using Synthetic Preferences. - Rongwu Xu; Yishuo Cai; Zhenhong Zhou; Renjie Gu; Haiqin Weng; Yan Liu; Tianwei Zhang 004; Wei Xu 039; Han Qiu 001 (CoRR, 2024)

A Benchmark for Semantic Sensitive Information in LLMs Outputs. - Qingjie Zhang; Han Qiu 001; Di Wang; Yiming Li 004; Tianwei Zhang 004; Wenyu Zhu; Haiqin Weng; Liu Yan; Chao Zhang 008 (ICLR, 2025)

RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer. - Jiangyi Deng; Xinfeng Li; Yanjiao Chen; Yijie Bai; Haiqin Weng; Yan Liu 069; Tao Wei 002; Wenyuan Xu 001 (NDSS, 2025)

FDINet: Protecting Against DNN Model Extraction Using Feature Distortion Index. - Hongwei Yao; Zheng Li; Haiqin Weng; Feng Xue; Zhan Qin; Kui Ren 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Holmes: Towards Effective and Harmless Model Ownership Verification to Personalized Large Vision Models via Decoupling Common Features. - Linghui Zhu; Yiming Li 004; Haiqin Weng; Yan Liu; Tianwei Zhang 004; Shu-Tao Xia; Zhi Wang 001 (CoRR, 2025)