Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions
Authors: Subrato Bharati, Prajoy Podder | Published: 2022-10-24
Deep Learning Technology
Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach
Authors: Brian Pulfer, Roman Chaban, Yury Belousov, Joakim Tutt, Olga Taran, Taras Holotyak, Slava Voloshynovskiy | Published: 2022-06-23 | Updated: 2022-06-25
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior
Authors: Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu | Published: 2022-03-13
Understanding the Security of Deepfake Detection
Authors: Xiaoyu Cao, Neil Zhenqiang Gong | Published: 2021-07-05 | Updated: 2021-10-06
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning
Authors: Rasheed el-Bouri, Tingting Zhu, David A. Clifton | Published: 2021-07-04
Hunter in the Dark: Discover Anomalous Network Activity Using Deep Ensemble Network
Authors: Shiyi Yang, Hui Guo, Nour Moustafa | Published: 2021-05-19 | Updated: 2021-09-01
Undistillable: Making A Nasty Teacher That CANNOT teach students
Authors: Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang | Published: 2021-05-16
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
Authors: Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian | Published: 2021-03-19 | Updated: 2021-03-22
Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory
Authors: Mingyue Zhang Wu, Jinzhu Luo, Xing Fang, Maochao Xu, Peng Zhao | Published: 2021-03-15
Explaining Network Intrusion Detection System Using Explainable AI Framework
Authors: Shraddha Mane, Dattaraj Rao | Published: 2021-03-12