Adversarial Robustness via Label-Smoothing
Authors: Morgane Goibert, Elvis Dohmatob | Published: 2019-06-27 | Updated: 2019-10-15
敵対的攻撃
Adversarial Examples to Fool Iris Recognition Systems
Authors: Sobhan Soleymani, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2019-06-21 | Updated: 2019-07-18
Deep Leakage from Gradients
Authors: Ligeng Zhu, Zhijian Liu, Song Han | Published: 2019-06-21 | Updated: 2019-12-19
Misleading Authorship Attribution of Source Code using Adversarial Learning
Authors: Erwin Quiring, Alwin Maier, Konrad Rieck | Published: 2019-05-29 | Updated: 2019-05-31
CopyCAT: Taking Control of Neural Policies with Constant Attacks
Authors: Léonard Hussenot, Matthieu Geist, Olivier Pietquin | Published: 2019-05-29 | Updated: 2020-01-21
Expected Tight Bounds for Robust Training
Authors: Salman Alsubaihi, Adel Bibi, Modar Alfadly, Abdullah Hamdi, Bernard Ghanem | Published: 2019-05-28 | Updated: 2021-06-12
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks
Authors: Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis | Published: 2019-04-05 | Updated: 2020-10-15
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Authors: Yotam Gil, Yoav Chai, Or Gorodissky, Jonathan Berant | Published: 2019-04-04
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
Authors: Jianbo Chen, Michael I. Jordan, Martin J. Wainwright | Published: 2019-04-03 | Updated: 2020-04-28
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Authors: Adith Boloor, Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang | Published: 2019-03-12