Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Authors: Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi | Published: 2018-05-15 | Updated: 2018-12-14
敵対的攻撃検出
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing
Authors: Jingyi Wang, Jun Sun, Peixin Zhang, Xinyu Wang | Published: 2018-05-14 | Updated: 2018-05-17
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Authors: Bojan Kolosnjaji, Ambra Demontis, Battista Biggio, Davide Maiorca, Giorgio Giacinto, Claudia Eckert, Fabio Roli | Published: 2018-03-12
Combating Adversarial Attacks Using Sparse Representations
Authors: Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-03-11 | Updated: 2018-07-13
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
Authors: Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu | Published: 2018-01-15
A3T: Adversarially Augmented Adversarial Training
Authors: Akram Erraqabi, Aristide Baratin, Yoshua Bengio, Simon Lacoste-Julien | Published: 2018-01-12
Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks
Authors: Yongshuai Liu, Jiyu Chen, Hao Chen | Published: 2018-01-09 | Updated: 2018-12-08
Spatially Transformed Adversarial Examples
Authors: Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song | Published: 2018-01-08 | Updated: 2018-01-09
Generating Adversarial Examples with Adversarial Networks
Authors: Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song | Published: 2018-01-08 | Updated: 2019-02-14