A Large-Scale Privacy Assessment of Android Third-Party SDKs
Authors: Mark Huasong Meng, Chuan Yan, Yun Hao, Qing Zhang, Zeyu Wang, Kailong Wang, Sin Gee Teo, Guangdong Bai, Jin Song Dong | Published: 2024-09-16
プライバシー分類
Deciphering the Interplay between Local Differential Privacy, Average Bayesian Privacy, and Maximum Bayesian Privacy
Authors: Xiaojin Zhang, Yulin Fei, Wei Chen | Published: 2024-03-25 | Updated: 2024-04-02
Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method
Authors: Rémy Chapelle, Bruno Falissard | Published: 2023-10-10
Differentially Private Multi-Site Treatment Effect Estimation
Authors: Tatsuki Koga, Kamalika Chaudhuri, David Page | Published: 2023-10-10
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination
Authors: Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li | Published: 2022-07-25
Privacy and Transparency in Graph Machine Learning: A Unified Perspective
Authors: Megha Khosla | Published: 2022-07-22 | Updated: 2022-10-19
Cascading Machine Learning to Attack Bitcoin Anonymity
Authors: Francesco Zola, Maria Eguimendia, Jan Lukas Bruse, Raul Orduna Urrutia | Published: 2019-10-15
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Authors: Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou | Published: 2019-10-05
Differentially Private Regression and Classification with Sparse Gaussian Processes
Authors: Michael Thomas Smith, Mauricio A. Alvarez, Neil D. Lawrence | Published: 2019-09-19