A simple defense against adversarial attacks on heatmap explanations
Authors: Laura Rieger, Lars Kai Hansen | Published: 2020-07-13
防御メカニズム
ManiGen: A Manifold Aided Black-box Generator of Adversarial Examples
Authors: Guanxiong Liu, Issa Khalil, Abdallah Khreishah, Abdulelah Algosaibi, Adel Aldalbahi, Mohammed Alaneem, Abdulaziz Alhumam, Mohammed Anan | Published: 2020-07-11
Defending against Backdoors in Federated Learning with Robust Learning Rate
Authors: Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel | Published: 2020-07-07 | Updated: 2021-07-29
Backdoor attacks and defenses in feature-partitioned collaborative learning
Authors: Yang Liu, Zhihao Yi, Tianjian Chen | Published: 2020-07-07
Trace-Norm Adversarial Examples
Authors: Ehsan Kazemi, Thomas Kerdreux, Liqiang Wang | Published: 2020-07-02
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
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
Authors: Yunfei Song, Tian Liu, Tongquan Wei, Xiangfeng Wang, Zhe Tao, Mingsong Chen | Published: 2020-06-28
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks
Authors: Alexander Levine, Soheil Feizi | Published: 2020-06-26 | Updated: 2021-03-18
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