Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
Authors: Thomas Brunner, Frederik Diehl, Michael Truong Le, Alois Knoll | Published: 2018-12-24 | Updated: 2019-05-05
Increasing the adversarial robustness and explainability of capsule networks with $γ$-capsules
Authors: David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez | Published: 2018-12-23 | Updated: 2019-12-05
Towards resilient machine learning for ransomware detection
Authors: Li Chen, Chih-Yuan Yang, Anindya Paul, Ravi Sahita | Published: 2018-12-21 | Updated: 2019-05-16
The future of statistical disclosure control
Authors: Mark Elliot, Josep Domingo-Ferrer | Published: 2018-12-21
On the Activity Privacy of Blockchain for IoT
Authors: Ali Dorri, Clemence Roulin, Raja Jurdak, Salil Kanhere | Published: 2018-12-21 | Updated: 2019-03-14
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
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