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
Host-based anomaly detection using Eigentraces feature extraction and one-class classification on system call trace data
Authors: Ehsan Aghaei, Gursel Serpen | Published: 2019-11-25
Playing it Safe: Adversarial Robustness with an Abstain Option
Authors: Cassidy Laidlaw, Soheil Feizi | Published: 2019-11-25
One Man’s Trash is Another Man’s Treasure: Resisting Adversarial Examples by Adversarial Examples
Authors: Chang Xiao, Changxi Zheng | Published: 2019-11-25 | Updated: 2019-11-27
Transaction Confirmation Time Prediction in Ethereum Blockchain Using Machine Learning
Authors: Harsh Jot Singh, Abdelhakim Senhaji Hafid | Published: 2019-11-25