Lingchen Zhao

According to our database, Lingchen Zhao authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Perception-Driven Imperceptible Adversarial Attack Against Decision-Based Black-Box Models.

Shenyi Zhang, Baolin Zheng, Peipei Jiang, Lingchen Zhao, Chao Shen, Qian Wang

IEEE Trans. Inf. Forensics Secur., 2024

FastTextDodger: Decision-Based Adversarial Attack Against Black-Box NLP Models With Extremely High Efficiency.

Xiaoxue Hu, Geling Liu, Baolin Zheng, Lingchen Zhao, Qian Wang, Yufei Zhang, Minxin Du

IEEE Trans. Inf. Forensics Secur., 2024

Revisiting Adversarial Training under Long-Tailed Distributions.

Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao

CoRR, 2024

Hijacking Attacks against Neural Networks by Analyzing Training Data.

Yunjie Ge, Qian Wang, Huayang Huang, Qi Li, Cong Wang, Chao Shen, Lingchen Zhao, Peipei Jiang, Zheng Fang, Shenyi Zhang

CoRR, 2024

2023

Differential privacy in deep learning: Privacy and beyond.

Yanling Wang, Qian Wang, Lingchen Zhao, Cong Wang

Future Gener. Comput. Syst., November, 2023

AdvDDoS: Zero-Query Adversarial Attacks Against Commercial Speech Recognition Systems.

Yunjie Ge, Lingchen Zhao, Qian Wang, Yiheng Duan, Minxin Du

IEEE Trans. Inf. Forensics Secur., 2023

Shielding Graph for eXact Analytics With SGX.

Minxin Du, Peipei Jiang, Qian Wang, Sherman S. M. Chow, Lingchen Zhao

IEEE Trans. Dependable Secur. Comput., 2023

Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness.

Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition.

Jiacheng Deng, Li Dong, Jiahao Chen, Diqun Yan, Rangding Wang, Dengpan Ye, Lingchen Zhao, Jinyu Tian

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

SEAR: Secure and Efficient Aggregation for Byzantine-Robust Federated Learning.

Lingchen Zhao, Jianlin Jiang, Bo Feng, Qian Wang, Chao Shen, Qi Li

IEEE Trans. Dependable Secur. Comput., 2022

Practical differentially private online advertising.

Jie Sun, Lingchen Zhao, Zhuotao Liu, Qi Li, Xinhao Deng, Qian Wang, Yong Jiang

Comput. Secur., 2022

2021

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service.

Lingchen Zhao, Qian Wang, Cong Wang, Qi Li, Chao Shen, Bo Feng

IEEE Trans. Parallel Distributed Syst., 2021

Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection.

Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo, Pengfei Hu

IEEE Trans. Dependable Secur. Comput., 2021

2020

Privacy-Preserving Collaborative Deep Learning With Unreliable Participants.

Lingchen Zhao, Qian Wang, Qin Zou, Yan Zhang, Yanjiao Chen

IEEE Trans. Inf. Forensics Secur., 2020

Deep Domain Adaptation With Differential Privacy.

Qian Wang, Zixi Li, Qin Zou, Lingchen Zhao, Song Wang

IEEE Trans. Inf. Forensics Secur., 2020

2019

Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection.

Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo

CoRR, 2019

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service.

Lingchen Zhao, Qian Wang, Cong Wang, Qi Li, Chao Shen, Xiaodong Lin, Shengshan Hu, Minxin Du

CoRR, 2019

2018

InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy.

Lingchen Zhao, Lihao Ni, Shengshan Hu, Yanjiao Chen, Pan Zhou, Fu Xiao, Libing Wu

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018