Optimizing Information Loss Towards Robust Neural Networks
Authors: Philip Sperl, Konstantin Böttinger | Published: 2020-08-07 | Updated: 2020-09-29
敵対的攻撃手法
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment
Authors: Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Ines Goicoechea-Telleria, Raul Orduna-Urrutia | Published: 2020-07-02
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Authors: Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, Matthias Hein | Published: 2020-06-23 | Updated: 2022-02-08
RayS: A Ray Searching Method for Hard-label Adversarial Attack
Authors: Jinghui Chen, Quanquan Gu | Published: 2020-06-23 | Updated: 2020-09-05
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Authors: Cassidy Laidlaw, Sahil Singla, Soheil Feizi | Published: 2020-06-22 | Updated: 2021-07-04
Learning to Generate Noise for Multi-Attack Robustness
Authors: Divyam Madaan, Jinwoo Shin, Sung Ju Hwang | Published: 2020-06-22 | Updated: 2021-06-24
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training
Authors: Eran Segalis, Eran Galili | Published: 2020-06-17 | Updated: 2020-11-25
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Authors: Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li | Published: 2020-05-28
Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms
Authors: Mohsen Minaei, S Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate | Published: 2020-05-28
Transferable Perturbations of Deep Feature Distributions
Authors: Nathan Inkawhich, Kevin J Liang, Lawrence Carin, Yiran Chen | Published: 2020-04-27