White-Box Target Attack for EEG-Based BCI Regression Problems
Authors: Lubin Meng, Chin-Teng Lin, Tzyy-Ring Jung, Dongrui Wu | Published: 2019-11-07
敵対的攻撃手法
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
Authors: David Stutz, Matthias Hein, Bernt Schiele | Published: 2019-10-14 | Updated: 2020-06-30
Hear “No Evil”, See “Kenansville”: Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems
Authors: Hadi Abdullah, Muhammad Sajidur Rahman, Washington Garcia, Logan Blue, Kevin Warren, Anurag Swarnim Yadav, Tom Shrimpton, Patrick Traynor | Published: 2019-10-11
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system
Authors: Shixian Wen, Laurent Itti | Published: 2019-10-09
Deep Latent Defence
Authors: Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones | Published: 2019-10-09 | Updated: 2020-09-27
Adversarial Learning of Deepfakes in Accounting
Authors: Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth | Published: 2019-10-09
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Authors: Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2019-10-08
Adversarial Examples for Cost-Sensitive Classifiers
Authors: Gavin S. Hartnett, Andrew J. Lohn, Alexander P. Sedlack | Published: 2019-10-04
BUZz: BUffer Zones for defending adversarial examples in image classification
Authors: Kaleel Mahmood, Phuong Ha Nguyen, Lam M. Nguyen, Thanh Nguyen, Marten van Dijk | Published: 2019-10-03 | Updated: 2020-06-16
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions
Authors: He Zhao, Trung Le, Paul Montague, Olivier De Vel, Tamas Abraham, Dinh Phung | Published: 2019-10-03