Free-rider Attacks on Model Aggregation in Federated Learning
Authors: Yann Fraboni, Richard Vidal, Marco Lorenzi | Published: 2020-06-21 | Updated: 2021-02-22
機械学習アルゴリズム
Rotation-Equivariant Neural Networks for Privacy Protection
Authors: Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang | Published: 2020-06-21
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training
Authors: Eran Segalis, Eran Galili | Published: 2020-06-17 | Updated: 2020-11-25
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
Authors: Arpita Patra, Ajith Suresh | Published: 2020-05-18
Large-Scale Secure XGB for Vertical Federated Learning
Authors: Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang | Published: 2020-05-18 | Updated: 2021-09-02
Encryption Inspired Adversarial Defense for Visual Classification
Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-05-16
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data
Authors: Deepesh Data, Suhas Diggavi | Published: 2020-05-16
Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness
Authors: Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu | Published: 2020-05-15 | Updated: 2020-06-07
Protecting the integrity of the training procedure of neural networks
Authors: Christian Berghoff | Published: 2020-05-14
Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach
Authors: Orestis Christou, Nikolaos Pitropakis, Pavlos Papadopoulos, Sean McKeown, William J. Buchanan | Published: 2020-05-13