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
Probabilistic Safety for Bayesian Neural Networks
Authors: Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska | Published: 2020-04-21 | Updated: 2020-06-19
Certifying Joint Adversarial Robustness for Model Ensembles
Authors: Mainuddin Ahmad Jonas, David Evans | Published: 2020-04-21
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
Authors: Sanchari Sen, Balaraman Ravindran, Anand Raghunathan | Published: 2020-04-21
PhishOut: Effective Phishing Detection Using Selected Features
Authors: Suhail Paliath, Mohammad Abu Qbeitah, Monther Aldwairi | Published: 2020-04-21
Scalable and Secure Architecture for Distributed IoT Systems
Authors: Najmeddine Dhieb, Hakim Ghazzai, Hichem Besbes, Yehia Massoud | Published: 2020-04-20