Can’t Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks
Authors: Moshe Kravchik, Asaf Shabtai | Published: 2020-02-07
Equivalence relations and $L^p$ distances between time series with application to the Black Summer Australian bushfires
Authors: Nick James, Max Menzies | Published: 2020-02-07 | Updated: 2023-02-28
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels
Authors: Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus | Published: 2020-02-05 | Updated: 2020-02-13
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study
Authors: David Mickisch, Felix Assion, Florens Greßner, Wiebke Günther, Mariele Motta | Published: 2020-02-05
Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework
Authors: Hongyu Li, Dan Meng, Hong Wang, Xiaolin Li | Published: 2020-02-05 | Updated: 2020-05-22
Minimax Defense against Gradient-based Adversarial Attacks
Authors: Blerta Lindqvist, Rauf Izmailov | Published: 2020-02-04
Adversarial Machine Learning — Industry Perspectives
Authors: Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia | Published: 2020-02-04 | Updated: 2021-03-19
Defending Adversarial Attacks via Semantic Feature Manipulation
Authors: Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen | Published: 2020-02-03 | Updated: 2020-04-22
Learning to Detect Malicious Clients for Robust Federated Learning
Authors: Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen | Published: 2020-02-01
Politics of Adversarial Machine Learning
Authors: Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar | Published: 2020-02-01 | Updated: 2020-04-26