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Low-frequency Image Deep Steganography: Manipulate the Frequency Distribution to Hide Secrets with Tenacious Robustness


Mar 23, 2023
Huajie Chen, Tianqing Zhu, Yuan Zhao, Bo Liu, Xin Yu, Wanlei Zhou

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New Challenges in Reinforcement Learning: A Survey of Security and Privacy


Dec 31, 2022
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou

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Momentum Gradient Descent Federated Learning with Local Differential Privacy


Sep 28, 2022
Mengde Han, Tianqing Zhu, Wanlei Zhou

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Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack


Mar 22, 2022
Chi Liu, Huajie Chen, Tianqing Zhu, Jun Zhang, Wanlei Zhou

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One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy


Mar 13, 2022
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou

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Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It


Mar 13, 2022
Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji

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Label-only Model Inversion Attack: The Attack that Requires the Least Information


Mar 13, 2022
Dayong Ye, Tianqing Zhu, Shuai Zhou, Bo Liu, Wanlei Zhou

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DP-Image: Differential Privacy for Image Data in Feature Space


Mar 12, 2021
Bo Liu, Ming Ding, Hanyu Xue, Tianqing Zhu, Dayong Ye, Li Song, Wanlei Zhou

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Correlated Differential Privacy: Feature Selection in Machine Learning


Oct 07, 2020
Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou

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* IEEE Transactions on Industrial Informatics, vol. 16, no. 3, pp. 2115-2124, March 2020 
* This paper has been published in IEEE Transactions on Industrial Informatics 

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Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination


Sep 25, 2020
Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu

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* This paper has been published in IEEE Transactions on Knowledge and Data Engineering 

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