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
Assessing Supply Chain Cyber Risks
Authors: Alberto Redondo, Alberto Torres-Barrán, David Ríos Insua, Jordi Domingo | Published: 2019-11-26
Network Intrusion Detection based on LSTM and Feature Embedding
Authors: Hyeokmin Gwon, Chungjun Lee, Rakun Keum, Heeyoul Choi | Published: 2019-11-26
Privacy preserving Neural Network Inference on Encrypted Data with GPUs
Authors: Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio | Published: 2019-11-26