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ORCIDHaiqin Weng
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2020 – today
- 2024
[c15]Huiyu Xu
, Yaopeng Wang, Zhibo Wang, Zhongjie Ba, Wenxin Liu, Lu Jin, Haiqin Weng, Tao Wei, Kui Ren:
ProFake: Detecting Deepfakes in the Wild against Quality Degradation with Progressive Quality-adaptive Learning. CCS 2024: 2207-2221- [c14]Rongwu Xu, Yishuo Cai, Zhenhong Zhou, Renjie Gu, Haiqin Weng, Liu Yan, Tianwei Zhang, Wei Xu, Han Qiu:
Course-Correction: Safety Alignment Using Synthetic Preferences. EMNLP (Industry Track) 2024: 1622-1649 - [c13]Jiangyi Deng, Shengyuan Pang, Yanjiao Chen, Liangming Xia, Yijie Bai, Haiqin Weng, Wenyuan Xu:
Sophon: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models. SP 2024: 2553-2571 - [c12]Peiyu Liu, Junming Liu, Lirong Fu, Kangjie Lu, Yifan Xia, Xuhong Zhang, Wenzhi Chen, Haiqin Weng, Shouling Ji, Wenhai Wang:
Exploring ChatGPT's Capabilities on Vulnerability Management. USENIX Security Symposium 2024 - [c11]Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu:
Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. WWW (Companion Volume) 2024: 774-777 - [i10]Lei Yu, Meng Han, Yiming Li, Changting Lin, Yao Zhang, Mingyang Zhang, Yan Liu, Haiqin Weng, Yuseok Jeon, Ka-Ho Chow, Stacy Patterson:
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective. CoRR abs/2402.03688 (2024) - [i9]Jiangyi Deng, Shengyuan Pang, Yanjiao Chen, Liangming Xia, Yijie Bai, Haiqin Weng, Wenyuan Xu:
SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models. CoRR abs/2404.12699 (2024) - [i8]Rongwu Xu, Yishuo Cai, Zhenhong Zhou, Renjie Gu, Haiqin Weng, Yan Liu, Tianwei Zhang, Wei Xu, Han Qiu:
Course-Correction: Safety Alignment Using Synthetic Preferences. CoRR abs/2407.16637 (2024) - [i7]Jiangyi Deng, Xinfeng Li, Yanjiao Chen, Yijie Bai, Haiqin Weng, Yan Liu, Tao Wei, Wenyuan Xu:
RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer. CoRR abs/2409.02074 (2024) - 2023
- [c10]Lingshuo Meng, Yijie Bai, Yanjiao Chen, Yutong Hu, Wenyuan Xu, Haiqin Weng:
Devil in Disguise: Breaching Graph Neural Networks Privacy through Infiltration. CCS 2023: 1153-1167 - [c9]Xue Wang, Zhibo Wang, Haiqin Weng, Hengchang Guo, Zhifei Zhang, Lu Jin, Tao Wei, Kui Ren:
Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks. ICCV 2023: 2042-2051 - [c8]Yijie Bai, Yanjiao Chen, Hanlei Zhang, Wenyuan Xu, Haiqin Weng, Dou Goodman:
VILLAIN: Backdoor Attacks Against Vertical Split Learning. USENIX Security Symposium 2023: 2743-2760 - [i6]Hongwei Yao, Zheng Li, Haiqin Weng, Feng Xue, Kui Ren, Zhan Qin:
FDINet: Protecting against DNN Model Extraction via Feature Distortion Index. CoRR abs/2306.11338 (2023) - [i5]Peiyu Liu, Junming Liu, Lirong Fu, Kangjie Lu, Yifan Xia, Xuhong Zhang, Wenzhi Chen, Haiqin Weng, Shouling Ji, Wenhai Wang:
How ChatGPT is Solving Vulnerability Management Problem. CoRR abs/2311.06530 (2023) - 2022
- [j5]Binbin Zhao, Shouling Ji, Wei-Han Lee, Changting Lin, Haiqin Weng, Jingzheng Wu, Pan Zhou, Liming Fang, Raheem Beyah:
A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices. IEEE Trans. Dependable Secur. Comput. 19(3): 1826-1840 (2022) - [j4]Changjiang Li, Shouling Ji, Haiqin Weng, Bo Li, Jie Shi, Raheem Beyah, Shanqing Guo, Zonghui Wang, Ting Wang:
Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications. IEEE Trans. Dependable Secur. Comput. 19(6): 3987-4001 (2022) - 2021
- [j3]Haiqin Weng, Shouling Ji, Changchang Liu, Ting Wang, Qinming He, Jianhai Chen:
Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining. IEEE Trans. Cybern. 51(10): 5198-5211 (2021) - [c7]Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang:
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. IJCAI 2021: 786-792 - [i4]Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang:
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. CoRR abs/2106.01532 (2021) - 2020
- [c6]Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Jing Chen, Zhao Li, Raheem Beyah, Ting Wang:
De-Health: All Your Online Health Information Are Belong to Us. ICDE 2020: 1609-1620 - [i3]Haiqin Weng, Juntao Zhang, Feng Xue, Tao Wei, Shouling Ji, Zhiyuan Zong:
Privacy Leakage of Real-World Vertical Federated Learning. CoRR abs/2011.09290 (2020)
2010 – 2019
- 2019
- [j2]Haiqin Weng, Binbin Zhao, Shouling Ji, Jianhai Chen, Ting Wang, Qinming He, Raheem Beyah:
Towards understanding the security of modern image captchas and underground captcha-solving services. Big Data Min. Anal. 2(2): 118-144 (2019) - [c5]Changjiang Li, Haiqin Weng, Shouling Ji, Jianfeng Dong, Qinming He:
DeT: Defending Against Adversarial Examples via Decreasing Transferability. CSS (1) 2019: 307-322 - [c4]Haiqin Weng, Shouling Ji, Fuzheng Duan, Zhao Li, Jianhai Chen, Qinming He, Ting Wang:
CATS: Cross-Platform E-Commerce Fraud Detection. ICDE 2019: 1874-1885 - [i2]Shouling Ji, Haiqin Weng, Yiming Wu, Pan Zhou, Qinming He, Raheem Beyah, Ting Wang:
FDI: Quantifying Feature-based Data Inferability. CoRR abs/1902.00714 (2019) - [i1]Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Qinming He, Raheem Beyah, Ting Wang:
De-Health: All Your Online Health Information Are Belong to Us. CoRR abs/1902.00717 (2019) - 2018
- [j1]Haiqin Weng, Kevin Chiew, Zhenguang Liu, Qinming He, Roger Zimmermann:
Rare category exploration with noisy labels. Expert Syst. Appl. 114: 503-515 (2018) - [c3]Binbin Zhao, Haiqin Weng, Shouling Ji, Jianhai Chen, Ting Wang, Qinming He, Reheem Beyah:
Towards Evaluating the Security of Real-World Deployed Image CAPTCHAs. AISec@CCS 2018: 85-96 - [c2]Haiqin Weng, Zhao Li, Shouling Ji, Chen Chu, Haifeng Lu, Tianyu Du, Qinming He:
Online E-Commerce Fraud: A Large-Scale Detection and Analysis. ICDE 2018: 1435-1440 - 2015
- [c1]Haiqin Weng, Zhenguang Liu, Kevin Chiew, Qinming He:
Rare Category Detection Forest. KSEM 2015: 612-618
Coauthor Index
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