Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks

12 April 2019

Papers citing "Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks"

8 / 8 papers shown

Title
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios Zhen Xiang David J. Miller G. Kesidis AAML 28 47 0 20 Jan 2022
Detecting Backdoor Attacks Against Point Cloud Classifiers Zhen Xiang David J. Miller Siheng Chen Xi Li G. Kesidis 3DPC AAML 32 15 0 20 Oct 2021
A Backdoor Attack against 3D Point Cloud Classifiers Zhen Xiang David J. Miller Siheng Chen Xi Li G. Kesidis 3DPC AAML 28 76 0 12 Apr 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 32 23 0 15 Feb 2021
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic Zhen Xiang David J. Miller Hang Wang G. Kesidis AAML 26 9 0 18 Nov 2019
Adversarial Example Detection by Classification for Deep Speech Recognition Saeid Samizade Z. Tan Chao Shen X. Guan AAML 14 35 0 22 Oct 2019
Detection of Backdoors in Trained Classifiers Without Access to the Training Set Zhen Xiang David J. Miller G. Kesidis AAML 11 23 0 27 Aug 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016