MISA: Online Defense of Trojaned Models using Misattributions
Authors: Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha | Published: 2021-03-29 | Updated: 2021-09-23
敵対的サンプルの脆弱性
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Authors: Josh Kalin, David Noever, Matthew Ciolino, Dominick Hambrick, Gerry Dozier | Published: 2021-03-29
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond
Authors: Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus | Published: 2021-03-25
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
Authors: Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama | Published: 2020-10-22 | Updated: 2021-07-11
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence
Authors: Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi | Published: 2020-09-28 | Updated: 2020-10-08
Beneficial Perturbations Network for Defending Adversarial Examples
Authors: Shixian Wen, Amanda Rios, Laurent Itti | Published: 2020-09-27 | Updated: 2021-09-13
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Authors: Alfred Laugros, Alice Caplier, Matthieu Ospici | Published: 2020-08-19
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models
Authors: Martin Kotuliak, Sandro E. Schoenborn, Andrei Dan | Published: 2020-05-19
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
Authors: Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan | Published: 2020-02-13 | Updated: 2020-07-25
A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks
Authors: Prithviraj Dasgupta, Joseph B. Collins | Published: 2019-12-04