no code implementations • 24 Jun 2023 • Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou
Hence, in this paper, we propose a new training paradigm for a learning-based model inversion attack that can achieve higher attack accuracy in a black-box setting.
no code implementations • 13 Mar 2022 • Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji
However, they may not mean that transfer learning models are impervious to model inversion attacks.
no code implementations • 13 Mar 2022 • Dayong Ye, Tianqing Zhu, Shuai Zhou, Bo Liu, Wanlei Zhou
In launching a contemporary model inversion attack, the strategies discussed are generally based on either predicted confidence score vectors, i. e., black-box attacks, or the parameters of a target model, i. e., white-box attacks.
no code implementations • 20 May 2021 • Xiaolin Chen, Shuai Zhou, Bei guan, Kai Yang, Hao Fan, Hu Wang, Yongji Wang
With this key observation, we protect data privacy and allow the disclosure of feature meaning by concealing decision paths and adapt a communication-efficient secure computation method for inference outputs.
no code implementations • 21 Nov 2016 • Jiali Duan, Shuai Zhou, Jun Wan, Xiaoyuan Guo, Stan Z. Li
Recently, the popularity of depth-sensors such as Kinect has made depth videos easily available while its advantages have not been fully exploited.