Detection Defense Against Adversarial Attacks with Saliency Map
Authors: Dengpan Ye, Chuanxi Chen, Changrui Liu, Hao Wang, Shunzhi Jiang | Published: 2020-09-06
敵対的攻撃手法
Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack
Authors: Hadi Mansourifar, Weidong Shi | Published: 2020-08-23
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
Authors: Jiaxi Tang, Hongyi Wen, Ke Wang | Published: 2020-08-11 | Updated: 2020-08-28
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
Authors: Sina Däubener, Asja Fischer | Published: 2020-08-07 | Updated: 2020-08-17
Optimizing Information Loss Towards Robust Neural Networks
Authors: Philip Sperl, Konstantin Böttinger | Published: 2020-08-07 | Updated: 2020-09-29
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