Machine Learning in Cyber-Security – Problems, Challenges and Data Sets
Authors: Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger | Published: 2018-12-19 | Updated: 2019-04-22
Literature Database
Deep Transfer Learning for Static Malware Classification
Authors: Li Chen | Published: 2018-12-18
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering
Authors: Kevin Eykholt, Atul Prakash | Published: 2018-12-17
Trust Region Based Adversarial Attack on Neural Networks
Authors: Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael Mahoney | Published: 2018-12-16
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples
Authors: Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar | Published: 2018-12-15
Federated Optimization in Heterogeneous Networks
Authors: Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith | Published: 2018-12-14 | Updated: 2020-04-21
Training Set Camouflage
Authors: Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu | Published: 2018-12-13
A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance
Authors: Nimesh Shah, Manaar Alam, Durga Prasad Sahoo, Debdeep Mukhopadhyay, Arindam Basu | Published: 2018-12-13
Thwarting Adversarial Examples: An $L_0$-RobustSparse Fourier Transform
Authors: Mitali Bafna, Jack Murtagh, Nikhil Vyas | Published: 2018-12-12
A Style-Based Generator Architecture for Generative Adversarial Networks
Authors: Tero Karras, Samuli Laine, Timo Aila | Published: 2018-12-12 | Updated: 2019-03-29