Efficient and Transferable Adversarial Examples from Bayesian Neural Networks
Authors: Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen | Published: 2020-11-10 | Updated: 2022-06-18
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
Authors: T. Tony Cai, Yichen Wang, Linjun Zhang | Published: 2020-11-08 | Updated: 2020-12-06
On the Privacy Risks of Algorithmic Fairness
Authors: Hongyan Chang, Reza Shokri | Published: 2020-11-07 | Updated: 2021-04-07
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
Authors: Thippa Reddy Gadekallu, Manoj M K, Sivarama Krishnan S, Neeraj Kumar, Saqib Hakak, Sweta Bhattacharya | Published: 2020-11-03 | Updated: 2021-10-02
Adversarial Examples in Constrained Domains
Authors: Ryan Sheatsley, Nicolas Papernot, Michael Weisman, Gunjan Verma, Patrick McDaniel | Published: 2020-11-02 | Updated: 2022-09-09
End-to-end anti-spoofing with RawNet2
Authors: Hemlata Tak, Jose Patino, Massimiliano Todisco, Andreas Nautsch, Nicholas Evans, Anthony Larcher | Published: 2020-11-02 | Updated: 2021-12-16
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
Authors: Chengshuai Shi, Cong Shen | Published: 2020-11-02 | Updated: 2021-04-24
Differentially Private ADMM Algorithms for Machine Learning
Authors: Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong | Published: 2020-10-31
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers
Authors: Tzvika Shapira, David Berend, Ishai Rosenberg, Yang Liu, Asaf Shabtai, Yuval Elovici | Published: 2020-10-30
Differential Privacy and Natural Language Processing to Generate Contextually Similar Decoy Messages in Honey Encryption Scheme
Authors: Kunjal Panchal | Published: 2020-10-29