Against Membership Inference Attack: Pruning is All You Need
Authors: Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran | Published: 2020-08-28 | Updated: 2021-07-04
Every Query Counts: Analyzing the Privacy Loss of Exploratory Data Analyses
Authors: Saskia Nuñez von Voigt, Mira Pauli, Johanna Reichert, Florian Tschorsch | Published: 2020-08-27
Adversarial Eigen Attack on Black-Box Models
Authors: Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang | Published: 2020-08-27
Adversarially Training for Audio Classifiers
Authors: Raymel Alfonso Sallo, Mohammad Esmaeilpour, Patrick Cardinal | Published: 2020-08-26 | Updated: 2020-10-25
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning
Authors: Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang | Published: 2020-08-25
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Authors: Chandra Thapa, Seyit Camtepe | Published: 2020-08-24
Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack
Authors: Hadi Mansourifar, Weidong Shi | Published: 2020-08-23
Multiple Classification with Split Learning
Authors: Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee | Published: 2020-08-22 | Updated: 2020-09-11
On the Intrinsic Differential Privacy of Bagging
Authors: Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong | Published: 2020-08-22
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses
Authors: Shiliang Zuo | Published: 2020-08-21 | Updated: 2024-03-14