Adversarial Attacks and Defenses: An Interpretation Perspective
Authors: Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu | Published: 2020-04-23 | Updated: 2020-10-07
Adversarial Machine Learning in Network Intrusion Detection Systems
Authors: Elie Alhajjar, Paul Maxwell, Nathaniel D. Bastian | Published: 2020-04-23
ArchNet: Data Hiding Model in Distributed Machine Learning System
Authors: Kaiyan Chang, Wei Jiang, Jinyu Zhan, Zicheng Gong, Weijia Pan | Published: 2020-04-23 | Updated: 2020-05-31
Digit Recognition From Wrist Movements and Security Concerns with Smart Wrist Wearable IOT Devices
Authors: Lambert T. Leong, Sean Wiere | Published: 2020-04-22
Live Trojan Attacks on Deep Neural Networks
Authors: Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang | Published: 2020-04-22 | Updated: 2020-05-27
How to compare adversarial robustness of classifiers from a global perspective
Authors: Niklas Risse, Christina Göpfert, Jan Philip Göpfert | Published: 2020-04-22 | Updated: 2020-10-15
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks
Authors: William Aiken, Hyoungshick Kim, Simon Woo | Published: 2020-04-22
Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection
Authors: Olga Petrova, Karel Durkota, Galina Alperovich, Karel Horak, Michal Najman, Branislav Bosansky, Viliam Lisy | Published: 2020-04-22
Provably robust deep generative models
Authors: Filipe Condessa, Zico Kolter | Published: 2020-04-22
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2020-04-22 | Updated: 2020-04-23