Haiqin Weng - RankMe

36 papers A* 12A 1C 1Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Faithful Bi-Directional Model Steering via Distribution Matching and Distributed Interchange Interventions. CoRR Yuntai Bao, Xuhong Zhang, Jintao Chen, Ge Su, Yuxiang Cai, Hao Peng, Bing Sun, Haiqin Weng, Liu Yan, Jianwei Yin
2025	A*	`conf`	A Benchmark for Semantic Sensitive Information in LLMs Outputs. ICLR Qingjie Zhang, Han Qiu, Di Wang, Yiming Li, Tianwei Zhang, Wenyu Zhu, Haiqin Weng, Liu Yan, Chao Zhang
2025	J	`jnl`	FDINet: Protecting Against DNN Model Extraction Using Feature Distortion Index. IEEE Trans. Dependable Secur. Comput. Hongwei Yao, Zheng Li, Haiqin Weng, Feng Xue, Zhan Qin, Kui Ren
2025	J	`jnl`	Holmes: Towards Effective and Harmless Model Ownership Verification to Personalized Large Vision Models via Decoupling Common Features. CoRR Linghui Zhu, Yiming Li, Haiqin Weng, Yan Liu, Tianwei Zhang, Shu-Tao Xia, Zhi Wang
2025	A	`conf`	PatchSegDet: Attack-Agnostic Detection of Physical Adversarial Patches in Face Recognition Systems. ICME Zhiqiang Shen, Qinfeng Li, Xuhong Zhang, Yuxiang Cai, Xiaochu Chen, Ping An, Haiqin Weng, Yang Liu
2025	A*	`conf`	RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer. NDSS Jiangyi Deng, Xinfeng Li, Yanjiao Chen, Yijie Bai, Haiqin Weng, Yan Liu, Tao Wei, Wenyuan Xu
2024	J	`jnl`	A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective. CoRR Lei Yu, Meng Han, Yiming Li, Changting Lin, Yao Zhang, Mingyang Zhang, Yan Liu, Haiqin Weng, Yuseok Jeon, Ka-Ho Chow, Stacy Patterson
2024	—	`conf`	Course-Correction: Safety Alignment Using Synthetic Preferences. EMNLP (Industry Track) Rongwu Xu, Yishuo Cai, Zhenhong Zhou, Renjie Gu, Haiqin Weng, Liu Yan, Tianwei Zhang, Wei Xu, Han Qiu
2024	J	`jnl`	Course-Correction: Safety Alignment Using Synthetic Preferences. CoRR Rongwu Xu, Yishuo Cai, Zhenhong Zhou, Renjie Gu, Haiqin Weng, Yan Liu, Tianwei Zhang, Wei Xu, Han Qiu
2024	A*	`conf`	Exploring ChatGPT's Capabilities on Vulnerability Management. USENIX Security Symposium Peiyu Liu, Junming Liu, Lirong Fu, Kangjie Lu, Yifan Xia, Xuhong Zhang, Wenzhi Chen, Haiqin Weng, Shouling Ji, Wenhai Wang
2024	—	`conf`	Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. WWW (Companion Volume) Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu
2024	A*	`conf`	ProFake: Detecting Deepfakes in the Wild against Quality Degradation with Progressive Quality-adaptive Learning. CCS Huiyu Xu, Yaopeng Wang, Zhibo Wang, Zhongjie Ba, Wenxin Liu, Lu Jin, Haiqin Weng, Tao Wei, Kui Ren
2024	J	`jnl`	RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer. CoRR Jiangyi Deng, Xinfeng Li, Yanjiao Chen, Yijie Bai, Haiqin Weng, Yan Liu, Tao Wei, Wenyuan Xu
2024	J	`jnl`	SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models. CoRR Jiangyi Deng, Shengyuan Pang, Yanjiao Chen, Liangming Xia, Yijie Bai, Haiqin Weng, Wenyuan Xu
2024	A*	`conf`	Sophon: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models. SP Jiangyi Deng, Shengyuan Pang, Yanjiao Chen, Liangming Xia, Yijie Bai, Haiqin Weng, Wenyuan Xu
2023	A*	`conf`	Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks. ICCV Xue Wang, Zhibo Wang, Haiqin Weng, Hengchang Guo, Zhifei Zhang, Lu Jin, Tao Wei, Kui Ren
2023	A*	`conf`	Devil in Disguise: Breaching Graph Neural Networks Privacy through Infiltration. CCS Lingshuo Meng, Yijie Bai, Yanjiao Chen, Yutong Hu, Wenyuan Xu, Haiqin Weng
2023	J	`jnl`	FDINet: Protecting against DNN Model Extraction via Feature Distortion Index. CoRR Hongwei Yao, Zheng Li, Haiqin Weng, Feng Xue, Kui Ren, Zhan Qin
2023	J	`jnl`	How ChatGPT is Solving Vulnerability Management Problem. CoRR Peiyu Liu, Junming Liu, Lirong Fu, Kangjie Lu, Yifan Xia, Xuhong Zhang, Wenzhi Chen, Haiqin Weng, Shouling Ji, Wenhai Wang
2023	A*	`conf`	VILLAIN: Backdoor Attacks Against Vertical Split Learning. USENIX Security Symposium Yijie Bai, Yanjiao Chen, Hanlei Zhang, Wenyuan Xu, Haiqin Weng, Dou Goodman
2022	J	`jnl`	A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices. IEEE Trans. Dependable Secur. Comput. Binbin Zhao, Shouling Ji, Wei-Han Lee, Changting Lin, Haiqin Weng, Jingzheng Wu, Pan Zhou, Liming Fang, Raheem Beyah
2022	J	`jnl`	Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications. IEEE Trans. Dependable Secur. Comput. Changjiang Li, Shouling Ji, Haiqin Weng, Bo Li, Jie Shi, Raheem Beyah, Shanqing Guo, Zonghui Wang, Ting Wang
2021	J	`jnl`	Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining. IEEE Trans. Cybern. Haiqin Weng, Shouling Ji, Changchang Liu, Ting Wang, Qinming He, Jianhai Chen
2021	A*	`conf`	Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. IJCAI Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
2021	J	`jnl`	Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. CoRR Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
2020	A*	`conf`	De-Health: All Your Online Health Information Are Belong to Us. ICDE Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Jing Chen, Zhao Li, Raheem Beyah, Ting Wang
2020	J	`jnl`	Privacy Leakage of Real-World Vertical Federated Learning. CoRR Haiqin Weng, Juntao Zhang, Feng Xue, Tao Wei, Shouling Ji, Zhiyuan Zong
2019	A*	`conf`	CATS: Cross-Platform E-Commerce Fraud Detection. ICDE Haiqin Weng, Shouling Ji, Fuzheng Duan, Zhao Li, Jianhai Chen, Qinming He, Ting Wang
2019	J	`jnl`	De-Health: All Your Online Health Information Are Belong to Us. CoRR Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Qinming He, Raheem Beyah, Ting Wang
2019	—	`conf`	DeT: Defending Against Adversarial Examples via Decreasing Transferability. CSS (1) Changjiang Li, Haiqin Weng, Shouling Ji, Jianfeng Dong, Qinming He
2019	J	`jnl`	FDI: Quantifying Feature-based Data Inferability. CoRR Shouling Ji, Haiqin Weng, Yiming Wu, Pan Zhou, Qinming He, Raheem Beyah, Ting Wang
2019	J	`jnl`	Towards understanding the security of modern image captchas and underground captcha-solving services. Big Data Min. Anal. Haiqin Weng, Binbin Zhao, Shouling Ji, Jianhai Chen, Ting Wang, Qinming He, Raheem Beyah
2018	A*	`conf`	Online E-Commerce Fraud: A Large-Scale Detection and Analysis. ICDE Haiqin Weng, Zhao Li, Shouling Ji, Chen Chu, Haifeng Lu, Tianyu Du, Qinming He
2018	J	`jnl`	Rare category exploration with noisy labels. Expert Syst. Appl. Haiqin Weng, Kevin Chiew, Zhenguang Liu, Qinming He, Roger Zimmermann
2018	—	`conf`	Towards Evaluating the Security of Real-World Deployed Image CAPTCHAs. AISec@CCS Binbin Zhao, Haiqin Weng, Shouling Ji, Jianhai Chen, Ting Wang, Qinming He, Reheem Beyah
2015	C	`conf`	Rare Category Detection Forest. KSEM Haiqin Weng, Zhenguang Liu, Kevin Chiew, Qinming He