Reachable Sets of Classifiers and Regression Models: (Non-)Robustness Analysis and Robust Training
Authors: Anna-Kathrin Kopetzki, Stephan Günnemann | Published: 2020-07-28 | Updated: 2021-05-12
Performance Evaluation
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection
Authors: Fares Meghdouri, Maximilian Bachl, Tanja Zseby | Published: 2020-07-27 | Updated: 2020-10-15
Evaluation of Federated Learning in Phishing Email Detection
Authors: Chandra Thapa, Jun Wen Tang, Alsharif Abuadbba, Yansong Gao, Seyit Camtepe, Surya Nepal, Mahathir Almashor, Yifeng Zheng | Published: 2020-07-27 | Updated: 2021-05-21
Detecting malicious PDF using CNN
Authors: Raphael Fettaya, Yishay Mansour | Published: 2020-07-24 | Updated: 2020-08-02
Provably Robust Adversarial Examples
Authors: Dimitar I. Dimitrov, Gagandeep Singh, Timon Gehr, Martin Vechev | Published: 2020-07-23 | Updated: 2022-03-17
Hide-and-Seek Privacy Challenge
Authors: James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar | Published: 2020-07-23 | Updated: 2020-07-24
Private Post-GAN Boosting
Authors: Marcel Neunhoeffer, Zhiwei Steven Wu, Cynthia Dwork | Published: 2020-07-23 | Updated: 2021-03-25
Scaling Polyhedral Neural Network Verification on GPUs
Authors: Christoph Müller, François Serre, Gagandeep Singh, Markus Püschel, Martin Vechev | Published: 2020-07-20 | Updated: 2021-05-18
Learning perturbation sets for robust machine learning
Authors: Eric Wong, J. Zico Kolter | Published: 2020-07-16 | Updated: 2020-10-08
Data Poisoning Attacks Against Federated Learning Systems
Authors: Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu | Published: 2020-07-16 | Updated: 2020-08-11