Lingchen Zhao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Distributed Data Mining

Differential Privacy

Optical Character Recognition

Feature Extractor

Top Venues

IEEE Trans. Inf. Forensics Secur.

IEEE Trans. Dependable Secur. Comput.

USENIX Security Symposium

Publications

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)
Chunlin Qiu, Yiheng Duan, Lingchen Zhao, Qian Wang
Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling. CoRR (2024)
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 (2024)
Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao
Revisiting Adversarial Training under Long-Tailed Distributions. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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) (2023)
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 (2023)
Yanling Wang, Qian Wang, Lingchen Zhao, Cong Wang
Differential privacy in deep learning: Privacy and beyond. Future Gener. Comput. Syst. 148 (2023)
Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao
Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness. NeurIPS (2023)
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 (2023)
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)
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) (2022)
Jie Sun, Lingchen Zhao, Zhuotao Liu, Qi Li, Xinhao Deng, Qian Wang, Yong Jiang
Practical differentially private online advertising. Comput. Secur. 112 (2022)
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) (2021)
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) (2021)
Lingchen Zhao, Qian Wang, Qin Zou, Yan Zhang, Yanjiao Chen
Privacy-Preserving Collaborative Deep Learning With Unreliable Participants. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Qian Wang, Zixi Li, Qin Zou, Lingchen Zhao, Song Wang
Deep Domain Adaptation With Differential Privacy. IEEE Trans. Inf. Forensics Secur. 15 (2020)
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 (2019)
Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection. CoRR (2019)
Lingchen Zhao, Yan Zhang, Qian Wang, Yanjiao Chen, Cong Wang, Qin Zou
Privacy-Preserving Collaborative Deep Learning with Irregular Participants. CoRR (2018)
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)