Haiqin Weng

According to our database, Haiqin Weng authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer.

Jiangyi Deng, Xinfeng Li, Yanjiao Chen, Yijie Bai, Haiqin Weng, Yan Liu, Tao Wei, Wenyuan Xu

CoRR, 2024

Course-Correction: Safety Alignment Using Synthetic Preferences.

Rongwu Xu, Yishuo Cai, Zhenhong Zhou, Renjie Gu, Haiqin Weng, Yan Liu, Tianwei Zhang, Wei Xu, Han Qiu

CoRR, 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

Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification.

Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Exploring ChatGPT's Capabilities on Vulnerability Management.

Peiyu Liu, Junming Liu, Lirong Fu, Kangjie Lu, Yifan Xia, Xuhong Zhang, Wenzhi Chen, Haiqin Weng, Shouling Ji, Wenhai Wang

Proceedings of the 33rd USENIX Security Symposium, 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

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Course-Correction: Safety Alignment Using Synthetic Preferences.

Rongwu Xu, Yishuo Cai, Zhenhong Zhou, Renjie Gu, Haiqin Weng, Liu Yan, Tianwei Zhang, Wei Xu, Han Qiu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

ProFake: Detecting Deepfakes in the Wild against Quality Degradation with Progressive Quality-adaptive Learning.

Huiyu Xu, Yaopeng Wang, Zhibo Wang, Zhongjie Ba, Wenxin Liu, Lu Jin, Haiqin Weng, Tao Wei, Kui Ren

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

How ChatGPT is Solving Vulnerability Management Problem.

Peiyu Liu, Junming Liu, Lirong Fu, Kangjie Lu, Yifan Xia, Xuhong Zhang, Wenzhi Chen, Haiqin Weng, Shouling Ji, Wenhai Wang

CoRR, 2023

FDINet: Protecting against DNN Model Extraction via Feature Distortion Index.

Hongwei Yao, Zheng Li, Haiqin Weng, Feng Xue, Kui Ren, Zhan Qin

CoRR, 2023

VILLAIN: Backdoor Attacks Against Vertical Split Learning.

Yijie Bai, Yanjiao Chen, Hanlei Zhang, Wenyuan Xu, Haiqin Weng, Dou Goodman

Proceedings of the 32nd USENIX Security Symposium, 2023

Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks.

Xue Wang, Zhibo Wang, Haiqin Weng, Hengchang Guo, Zhifei Zhang, Lu Jin, Tao Wei, Kui Ren

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Devil in Disguise: Breaching Graph Neural Networks Privacy through Infiltration.

Lingshuo Meng, Yijie Bai, Yanjiao Chen, Yutong Hu, Wenyuan Xu, Haiqin Weng

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

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, Liming Fang, Raheem Beyah

IEEE Trans. Dependable Secur. Comput., 2022

Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications.

Changjiang Li, Shouling Ji, Haiqin Weng, Bo Li, Jie Shi, Raheem Beyah, Shanqing Guo, Zonghui Wang, Ting Wang

IEEE Trans. Dependable Secur. Comput., 2022

2021

Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining.

Haiqin Weng, Shouling Ji, Changchang Liu, Ting Wang, Qinming He, Jianhai Chen

IEEE Trans. Cybern., 2021

Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting.

Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Privacy Leakage of Real-World Vertical Federated Learning.

Haiqin Weng, Juntao Zhang, Feng Xue, Tao Wei, Shouling Ji, Zhiyuan Zong

CoRR, 2020

De-Health: All Your Online Health Information Are Belong to Us.

Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Jing Chen, Zhao Li, Raheem Beyah, Ting Wang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

De-Health: All Your Online Health Information Are Belong to Us.

Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Qinming He, Raheem Beyah, Ting Wang

CoRR, 2019

FDI: Quantifying Feature-based Data Inferability.

Shouling Ji, Haiqin Weng, Yiming Wu, Pan Zhou, Qinming He, Raheem Beyah, Ting Wang

CoRR, 2019

Towards understanding the security of modern image captchas and underground captcha-solving services.

Haiqin Weng, Binbin Zhao, Shouling Ji, Jianhai Chen, Ting Wang, Qinming He, Raheem Beyah

Big Data Min. Anal., 2019

CATS: Cross-Platform E-Commerce Fraud Detection.

Haiqin Weng, Shouling Ji, Fuzheng Duan, Zhao Li, Jianhai Chen, Qinming He, Ting Wang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

DeT: Defending Against Adversarial Examples via Decreasing Transferability.

Changjiang Li, Haiqin Weng, Shouling Ji, Jianfeng Dong, Qinming He

Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

2018

Rare category exploration with noisy labels.

Haiqin Weng, Kevin Chiew, Zhenguang Liu, Qinming He, Roger Zimmermann

Expert Syst. Appl., 2018

Online E-Commerce Fraud: A Large-Scale Detection and Analysis.

Haiqin Weng, Zhao Li, Shouling Ji, Chen Chu, Haifeng Lu, Tianyu Du, Qinming He

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Towards Evaluating the Security of Real-World Deployed Image CAPTCHAs.

Binbin Zhao, Haiqin Weng, Shouling Ji, Jianhai Chen, Ting Wang, Qinming He, Reheem Beyah

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

2015

Rare Category Detection Forest.

Haiqin Weng, Zhenguang Liu, Kevin Chiew, Qinming He

Proceedings of the Knowledge Science, Engineering and Management, 2015