Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks
Authors: Yang Song, Qiyu Kang, Wee Peng Tay | Published: 2019-11-30 | Updated: 2021-05-07
文献データベース
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
Authors: Keith Bonawitz, Fariborz Salehi, Jakub Konečný, Brendan McMahan, Marco Gruteser | Published: 2019-11-30
Square Attack: a query-efficient black-box adversarial attack via random search
Authors: Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein | Published: 2019-11-29 | Updated: 2020-07-29
Computer Systems Have 99 Problems, Let’s Not Make Machine Learning Another One
Authors: David Mohaisen, Songqing Chen | Published: 2019-11-28
Free-riders in Federated Learning: Attacks and Defenses
Authors: Jierui Lin, Min Du, Jian Liu | Published: 2019-11-28
Android Botnet Detection using Convolutional Neural Networks
Authors: Sina Hojjatinia, Sajad Hamzenejadi, Hadis Mohseni | Published: 2019-11-27
Survey of Attacks and Defenses on Edge-Deployed Neural Networks
Authors: Mihailo Isakov, Vijay Gadepally, Karen M. Gettings, Michel A. Kinsy | Published: 2019-11-27
An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense
Authors: Chao Tang, Yifei Fan, Anthony Yezzi | Published: 2019-11-26
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Authors: Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong | Published: 2019-11-26 | Updated: 2021-11-21
Defending Against Adversarial Machine Learning
Authors: Alison Jenkins | Published: 2019-11-26