Detection of Adversarial Attacks and Characterization of Adversarial Subspace
Authors: Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich | Published: 2019-10-26
攻撃手法
Feedback Learning for Improving the Robustness of Neural Networks
Authors: Chang Song, Zuoguan Wang, Hai Li | Published: 2019-09-12
Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences
Authors: Yuqi Chen, Christopher M. Poskitt, Jun Sun, Sridhar Adepu, Fan Zhang | Published: 2019-09-12
Structural Robustness for Deep Learning Architectures
Authors: Carlos Lassance, Vincent Gripon, Jian Tang, Antonio Ortega | Published: 2019-09-11
Sparse and Imperceivable Adversarial Attacks
Authors: Francesco Croce, Matthias Hein | Published: 2019-09-11
PDA: Progressive Data Augmentation for General Robustness of Deep Neural Networks
Authors: Hang Yu, Aishan Liu, Xianglong Liu, Gengchao Li, Ping Luo, Ran Cheng, Jichen Yang, Chongzhi Zhang | Published: 2019-09-11 | Updated: 2020-02-24
Effectiveness of Adversarial Examples and Defenses for Malware Classification
Authors: Robert Podschwadt, Hassan Takabi | Published: 2019-09-10
Poisoning Attacks with Generative Adversarial Nets
Authors: Luis Muñoz-González, Bjarne Pfitzner, Matteo Russo, Javier Carnerero-Cano, Emil C. Lupu | Published: 2019-06-18 | Updated: 2019-09-25
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks
Authors: Masoumeh Shafieinejad, Jiaqi Wang, Nils Lukas, Xinda Li, Florian Kerschbaum | Published: 2019-06-18 | Updated: 2019-11-26
Membership Privacy for Machine Learning Models Through Knowledge Transfer
Authors: Virat Shejwalkar, Amir Houmansadr | Published: 2019-06-15 | Updated: 2020-12-31