Robustness of Graph Neural Networks at Scale
Authors: Simon Geisler, Tobias Schmidt, Hakan Şirin, Daniel Zügner, Aleksandar Bojchevski, Stephan Günnemann | Published: 2021-10-26 | Updated: 2023-04-30
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning
Authors: Yansong Gao, Qun Li, Yifeng Zheng, Guohong Wang, Jiannan Wei, Mang Su | Published: 2021-10-26
Anomaly-Based Intrusion Detection System for Cyber-Physical System Security
Authors: Riccardo Colelli, Filippo Magri, Stefano Panzieri, Federica Pascucci | Published: 2021-10-25
DP-XGBoost: Private Machine Learning at Scale
Authors: Nicolas Grislain, Joan Gonzalvez | Published: 2021-10-25
Orthogonal variance-based feature selection for intrusion detection systems
Authors: Firuz Kamalov, Sherif Moussa, Ziad El Khatib, Adel Ben Mnaouer | Published: 2021-10-25
Addressing Privacy Threats from Machine Learning
Authors: Mary Anne Smart | Published: 2021-10-25
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
Authors: Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-man Cheung, Yuval Elovici, Alexander Binder | Published: 2021-10-24
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
Authors: Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi | Published: 2021-10-22 | Updated: 2022-10-21
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy
Authors: Xiaolan Gu, Ming Li, Li Xiong | Published: 2021-10-22
CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering
Authors: Amir Hosein Afandizadeh Zargari, Marzieh AshrafiAmiri, Minjun Seo, Sai Manoj Pudukotai Dinakarrao, Mohammed E. Fouda, Fadi Kurdahi | Published: 2021-10-21