Purifying Adversarial Perturbation with Adversarially Trained Auto-encoders
Authors: Hebi Li, Qi Xiao, Shixin Tian, Jin Tian | Published: 2019-05-26
機械学習手法
Adversarial Distillation for Ordered Top-k Attacks
Authors: Zekun Zhang, Tianfu Wu | Published: 2019-05-25
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
Authors: Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu | Published: 2019-05-25 | Updated: 2020-02-20
Enhancing Adversarial Defense by k-Winners-Take-All
Authors: Chang Xiao, Peilin Zhong, Changxi Zheng | Published: 2019-05-25 | Updated: 2019-10-29
Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack
Authors: Di Zhao, Jiqiang Liu, Jialin Wang, Wenjia Niu, Endong Tong, Tong Chen, Gang Li | Published: 2019-05-09
Machine Learning Cryptanalysis of a Quantum Random Number Generator
Authors: Nhan Duy Truong, Jing Yan Haw, Syed Muhamad Assad, Ping Koy Lam, Omid Kavehei | Published: 2019-05-07 | Updated: 2019-05-13
ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks
Authors: Guanxiong Liu, Issa Khalil, Abdallah Khreishah | Published: 2019-04-17
Helping IT and OT Defenders Collaborate
Authors: Glenn A. Fink, Penny McKenzie | Published: 2019-04-16
On Machine Learning DoS Attack Identification from Cloud Computing Telemetry
Authors: João Henrique Corrêa, Patrick Marques Ciarelli, Moises R. N. Ribeiro, Rodolfo da Silva Villaca | Published: 2019-04-11
Machine Learning in IoT Security: Current Solutions and Future Challenges
Authors: Fatima Hussain, Rasheed Hussain, Syed Ali Hassan, Ekram Hossain | Published: 2019-03-14