Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM
Authors: Rui Zhang, Quanyan Zhu | Published: 2020-03-08 | Updated: 2020-04-26
Some Geometrical and Topological Properties of DNNs’ Decision Boundaries
Authors: Bo Liu, Mengya Shen | Published: 2020-03-07 | Updated: 2021-04-16
Dynamic Backdoor Attacks Against Machine Learning Models
Authors: Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang | Published: 2020-03-07 | Updated: 2022-03-03
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers
Authors: Wei Song, Xuezixiang Li, Sadia Afroz, Deepali Garg, Dmitry Kuznetsov, Heng Yin | Published: 2020-03-06 | Updated: 2021-04-29
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
Authors: Aditya Golatkar, Alessandro Achille, Stefano Soatto | Published: 2020-03-05 | Updated: 2020-10-29
Confusing and Detecting ML Adversarial Attacks with Injected Attractors
Authors: Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee | Published: 2020-03-05 | Updated: 2021-03-08
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Authors: Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter | Published: 2020-03-04 | Updated: 2020-09-21
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Authors: Francesco Croce, Matthias Hein | Published: 2020-03-03 | Updated: 2020-08-04
Hidden Cost of Randomized Smoothing
Authors: Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei, Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel | Published: 2020-03-02 | Updated: 2021-03-12
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization
Authors: Jary Pomponi, Simone Scardapane, Aurelio Uncini | Published: 2020-03-02 | Updated: 2020-09-30