Privacy Attacks on Network Embeddings
Authors: Michael Ellers, Michael Cochez, Tobias Schumacher, Markus Strohmaier, Florian Lemmerich | Published: 2019-12-23
攻撃の分類
Explainability and Adversarial Robustness for RNNs
Authors: Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby | Published: 2019-12-20 | Updated: 2020-02-19
ASNM Datasets: A Collection of Network Traffic Features for Testing of Adversarial Classifiers and Network Intrusion Detectors
Authors: Ivan Homoliak, Petr Hanacek | Published: 2019-10-23
Lower Bounds on Adversarial Robustness from Optimal Transport
Authors: Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal | Published: 2019-09-26 | Updated: 2019-10-30
GAMIN: An Adversarial Approach to Black-Box Model Inversion
Authors: Ulrich Aïvodji, Sébastien Gambs, Timon Ther | Published: 2019-09-26
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Authors: Minhao Cheng, Simranjit Singh, Patrick Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh | Published: 2019-09-24 | Updated: 2020-02-14
Defending Against Physically Realizable Attacks on Image Classification
Authors: Tong Wu, Liang Tong, Yevgeniy Vorobeychik | Published: 2019-09-20 | Updated: 2020-02-14
Adversarial Vulnerability Bounds for Gaussian Process Classification
Authors: Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A Alvarez | Published: 2019-09-19
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding
Authors: Utku Ozbulak, Arnout Van Messem, Wesley De Neve | Published: 2019-07-30
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples
Authors: Hossein Hosseini, Sreeram Kannan, Radha Poovendran | Published: 2019-07-28