The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection
Authors: Muhammad Zaid Hameed, Andras Gyorgy, Deniz Gunduz | Published: 2019-02-27 | Updated: 2020-04-07
敵対的サンプル
Adversarial Attacks on Graph Neural Networks via Meta Learning
Authors: Daniel Zügner, Stephan Günnemann | Published: 2019-02-22 | Updated: 2024-01-28
Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces
Authors: Mohammad Saidur Rahman, Mohsen Imani, Nate Mathews, Matthew Wright | Published: 2019-02-18 | Updated: 2020-10-28
Adversarial Examples in RF Deep Learning: Detection of the Attack and its Physical Robustness
Authors: Silvija Kokalj-Filipovic, Rob Miller | Published: 2019-02-16
Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples?
Authors: Cody Burkard, Brent Lagesse | Published: 2019-02-14
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks
Authors: Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique | Published: 2019-02-04 | Updated: 2020-05-18
Robustness Certificates Against Adversarial Examples for ReLU Networks
Authors: Sahil Singla, Soheil Feizi | Published: 2019-02-01 | Updated: 2019-02-05
A New Family of Neural Networks Provably Resistant to Adversarial Attacks
Authors: Rakshit Agrawal, Luca de Alfaro, David Helmbold | Published: 2019-02-01
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks
Authors: Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique | Published: 2019-01-28 | Updated: 2019-05-24
Interpretable Complex-Valued Neural Networks for Privacy Protection
Authors: Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Jie Ren, Quanshi Zhang | Published: 2019-01-28 | Updated: 2020-01-14