Adversarial Information Bottleneck
Authors: Penglong Zhai, Shihua Zhang | Published: 2021-02-28 | Updated: 2021-03-03
Model Performance Evaluation
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
Authors: Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern Eskofier | Published: 2021-02-24
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
Authors: HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin | Published: 2021-02-21 | Updated: 2021-06-11
IoTDevID: A Behavior-Based Device Identification Method for the IoT
Authors: Kahraman Kostas, Mike Just, Michael A. Lones | Published: 2021-02-17 | Updated: 2022-07-19
ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves
Authors: Ali Burak Ünal, Nico Pfeifer, Mete Akgün | Published: 2021-02-17 | Updated: 2023-06-15
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
Authors: Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang | Published: 2021-02-10 | Updated: 2021-06-14
“What’s in the box?!”: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Authors: Sahar Abdelnabi, Mario Fritz | Published: 2021-02-09 | Updated: 2021-03-09
$k$-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers
Authors: Djordje Slijepčević, Maximilian Henzl, Lukas Daniel Klausner, Tobias Dam, Peter Kieseberg, Matthias Zeppelzauer | Published: 2021-02-09 | Updated: 2022-06-22
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack
Authors: Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang | Published: 2021-02-08 | Updated: 2021-03-01
Optimal Transport as a Defense Against Adversarial Attacks
Authors: Quentin Bouniot, Romaric Audigier, Angélique Loesch | Published: 2021-02-05 | Updated: 2021-03-30