Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing
Authors: Anudit Nagar | Published: 2019-12-10
AIセキュリティポータルbot
Deep Learning Based Android Malware Detection Framework
Authors: Soumya Sourav, Devashish Khulbe, Naman Kapoor | Published: 2019-12-10
Training Provably Robust Models by Polyhedral Envelope Regularization
Authors: Chen Liu, Mathieu Salzmann, Sabine Süsstrunk | Published: 2019-12-10 | Updated: 2021-09-20
Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques
Authors: Ibrahim Yilmaz, Rahat Masum | Published: 2019-12-10
Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data
Authors: Itay Mosafi, Eli David, Nathan S. Netanyahu | Published: 2019-12-09
Machine Unlearning
Authors: Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot | Published: 2019-12-09 | Updated: 2020-12-15
Hardening Random Forest Cyber Detectors Against Adversarial Attacks
Authors: Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti | Published: 2019-12-09
Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms
Authors: Guangxia Lia, Yulong Shena, Peilin Zhaob, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi | Published: 2019-12-08
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness
Authors: Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li | Published: 2019-12-07 | Updated: 2020-12-04
Principal Component Properties of Adversarial Samples
Authors: Malhar Jere, Sandro Herbig, Christine Lind, Farinaz Koushanfar | Published: 2019-12-07