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
Model Performance Evaluation
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
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Authors: Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang | Published: 2021-02-04 | Updated: 2021-10-06
Adversarially Robust Learning with Unknown Perturbation Sets
Authors: Omar Montasser, Steve Hanneke, Nathan Srebro | Published: 2021-02-03
Fast Training of Provably Robust Neural Networks by SingleProp
Authors: Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel | Published: 2021-02-01