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2020 – today
- 2024
[j12]Xiaoxue Hu, Geling Liu, Baolin Zheng, Lingchen Zhao
, Qian Wang, Yufei Zhang, Minxin Du:
FastTextDodger: Decision-Based Adversarial Attack Against Black-Box NLP Models With Extremely High Efficiency. IEEE Trans. Inf. Forensics Secur. 19: 2398-2411 (2024)- [j11]Shenyi Zhang, Baolin Zheng, Peipei Jiang, Lingchen Zhao, Chao Shen, Qian Wang:
Perception-Driven Imperceptible Adversarial Attack Against Decision-Based Black-Box Models. IEEE Trans. Inf. Forensics Secur. 19: 3164-3177 (2024) - [j10]Ningping Mou, Binqing Guo, Lingchen Zhao, Cong Wang, Yue Zhao, Qian Wang:
No-Box Universal Adversarial Perturbations Against Image Classifiers via Artificial Textures. IEEE Trans. Inf. Forensics Secur. 19: 9803-9818 (2024) - [c7]Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao:
Revisiting Adversarial Training Under Long-Tailed Distributions. CVPR 2024: 24492-24501 - [c6]Wang Yang, Lingchen Zhao, Dengpan Ye:
Reputation Defender: Local Black-Box Adversarial Attack against Image-Translation-Based DeepFake. ICME 2024: 1-6 - [c5]Yunjie Ge, Qian Wang, Huayang Huang, Qi Li, Cong Wang, Chao Shen, Lingchen Zhao, Peipei Jiang, Zheng Fang, Shenyi Zhang:
Hijacking Attacks against Neural Network by Analyzing Training Data. USENIX Security Symposium 2024 - [c4]Yunjie Ge, Pinji Chen, Qian Wang, Lingchen Zhao, Ningping Mou, Peipei Jiang, Cong Wang, Qi Li, Chao Shen:
More Simplicity for Trainers, More Opportunity for Attackers: Black-Box Attacks on Speaker Recognition Systems by Inferring Feature Extractor. USENIX Security Symposium 2024 - [i10]Yunjie Ge, Qian Wang, Huayang Huang, Qi Li, Cong Wang, Chao Shen, Lingchen Zhao, Peipei Jiang, Zheng Fang, Shenyi Zhang:
Hijacking Attacks against Neural Networks by Analyzing Training Data. CoRR abs/2401.09740 (2024) - [i9]Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao:
Revisiting Adversarial Training under Long-Tailed Distributions. CoRR abs/2403.10073 (2024) - [i8]Chunlin Qiu, Yiheng Duan, Lingchen Zhao, Qian Wang:
Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling. CoRR abs/2405.16181 (2024) - [i7]Zheng Fang, Tao Wang, Lingchen Zhao, Shenyi Zhang, Bowen Li, Yunjie Ge, Qi Li, Chao Shen, Qian Wang:
Zero-Query Adversarial Attack on Black-box Automatic Speech Recognition Systems. CoRR abs/2406.19311 (2024) - [i6]Xinli Yue, Jianhui Sun, Liangchao Yao, Fan Xia, Yuetang Deng, Tianyi Wang, Lei Li, Fengyun Rao, Jing Lv, Qian Wang, Lingchen Zhao:
Revisiting Video Quality Assessment from the Perspective of Generalization. CoRR abs/2409.14847 (2024) - [i5]Xinli Yue, Jianhui Sun, Han Kong, Liangchao Yao, Tianyi Wang, Lei Li, Fengyun Rao, Jing Lv, Fan Xia, Yuetang Deng, Qian Wang, Lingchen Zhao:
Advancing Video Quality Assessment for AIGC. CoRR abs/2409.14888 (2024) - 2023
- [j9]Yanling Wang, Qian Wang, Lingchen Zhao, Cong Wang:
Differential privacy in deep learning: Privacy and beyond. Future Gener. Comput. Syst. 148: 408-424 (2023) - [j8]Minxin Du, Peipei Jiang, Qian Wang, Sherman S. M. Chow, Lingchen Zhao:
Shielding Graph for eXact Analytics With SGX. IEEE Trans. Dependable Secur. Comput. 20(6): 5102-5112 (2023) - [j7]Yunjie Ge, Lingchen Zhao, Qian Wang, Yiheng Duan, Minxin Du:
AdvDDoS: Zero-Query Adversarial Attacks Against Commercial Speech Recognition Systems. IEEE Trans. Inf. Forensics Secur. 18: 3647-3661 (2023) - [c3]Jiacheng Deng, Li Dong, Jiahao Chen, Diqun Yan, Rangding Wang, Dengpan Ye, Lingchen Zhao, Jinyu Tian:
Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition. ACM Multimedia 2023: 7559-7568 - [c2]Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao:
Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness. NeurIPS 2023 - [i4]Jiacheng Deng, Li Dong, Jiahao Chen, Diqun Yan, Rangding Wang, Dengpan Ye, Lingchen Zhao, Jinyu Tian:
Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition. CoRR abs/2308.02369 (2023) - 2022
- [j6]Jie Sun, Lingchen Zhao, Zhuotao Liu, Qi Li, Xinhao Deng, Qian Wang, Yong Jiang:
Practical differentially private online advertising. Comput. Secur. 112: 102504 (2022) - [j5]Lingchen Zhao, Jianlin Jiang, Bo Feng, Qian Wang, Chao Shen, Qi Li:
SEAR: Secure and Efficient Aggregation for Byzantine-Robust Federated Learning. IEEE Trans. Dependable Secur. Comput. 19(5): 3329-3342 (2022) - 2021
- [j4]Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo, Pengfei Hu:
Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection. IEEE Trans. Dependable Secur. Comput. 18(5): 2029-2041 (2021) - [j3]Lingchen Zhao, Qian Wang, Cong Wang, Qi Li, Chao Shen, Bo Feng:
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service. IEEE Trans. Parallel Distributed Syst. 32(10): 2524-2540 (2021) - 2020
- [j2]Lingchen Zhao, Qian Wang, Qin Zou, Yan Zhang, Yanjiao Chen:
Privacy-Preserving Collaborative Deep Learning With Unreliable Participants. IEEE Trans. Inf. Forensics Secur. 15: 1486-1500 (2020) - [j1]Qian Wang, Zixi Li, Qin Zou, Lingchen Zhao, Song Wang:
Deep Domain Adaptation With Differential Privacy. IEEE Trans. Inf. Forensics Secur. 15: 3093-3106 (2020)
2010 – 2019
- 2019
- [i3]Lingchen Zhao, Qian Wang, Cong Wang, Qi Li, Chao Shen, Xiaodong Lin, Shengshan Hu, Minxin Du:
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service. CoRR abs/1909.06961 (2019) - [i2]Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo:
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection. CoRR abs/1910.13111 (2019) - 2018
- [c1]Lingchen Zhao, Lihao Ni, Shengshan Hu, Yanjiao Chen, Pan Zhou, Fu Xiao, Libing Wu:
InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy. INFOCOM 2018: 2087-2095 - [i1]Lingchen Zhao, Qian Wang, Qin Zou, Yan Zhang, Yanjiao Chen:
Privacy-Preserving Collaborative Deep Learning with Unreliable Participants. CoRR abs/1812.10113 (2018)
Coauthor Index
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