Voting based ensemble improves robustness of defensive models
Authors: Devvrit, Minhao Cheng, Cho-Jui Hsieh, Inderjit Dhillon | Published: 2020-11-28
攻撃タイプ
Practical Privacy Attacks on Vertical Federated Learning
Authors: Haiqin Weng, Juntao Zhang, Xingjun Ma, Feng Xue, Tao Wei, Shouling Ji, Zhiyuan Zong | Published: 2020-11-18 | Updated: 2022-07-22
Power Side-Channel Attacks on BNN Accelerators in Remote FPGAs
Authors: Shayan Moini, Shanquan Tian, Jakub Szefer, Daniel Holcomb, Russell Tessier | Published: 2020-11-15 | Updated: 2021-04-18
Is Private Learning Possible with Instance Encoding?
Authors: Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramer | Published: 2020-11-10 | Updated: 2021-04-28
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
Authors: Thippa Reddy Gadekallu, Manoj M K, Sivarama Krishnan S, Neeraj Kumar, Saqib Hakak, Sweta Bhattacharya | Published: 2020-11-03 | Updated: 2021-10-02
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
Authors: Chengshuai Shi, Cong Shen | Published: 2020-11-02 | Updated: 2021-04-24
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Authors: Yangsibo Huang, Zhao Song, Kai Li, Sanjeev Arora | Published: 2020-10-06 | Updated: 2021-02-24
Downscaling Attack and Defense: Turning What You See Back Into What You Get
Authors: Andrew J. Lohn | Published: 2020-10-06 | Updated: 2020-10-07
Leakage of Dataset Properties in Multi-Party Machine Learning
Authors: Wanrong Zhang, Shruti Tople, Olga Ohrimenko | Published: 2020-06-12 | Updated: 2021-06-17
Robustness to Adversarial Attacks in Learning-Enabled Controllers
Authors: Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan | Published: 2020-06-11