Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks
Authors: Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis | Published: 2019-12-29 | Updated: 2021-02-03
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Cyber Situation Awareness with Active Learning for Intrusion Detection
Authors: Steven McElwee, James Cannady | Published: 2019-12-29
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification
Authors: Farhad Farokhi | Published: 2019-12-29
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems
Authors: Josh Payne, Ashish Kundu | Published: 2019-12-27
Benchmarking Adversarial Robustness
Authors: Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu | Published: 2019-12-26
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Authors: Hongyan Chang, Virat Shejwalkar, Reza Shokri, Amir Houmansadr | Published: 2019-12-24
CNN-generated images are surprisingly easy to spot… for now
Authors: Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros | Published: 2019-12-23 | Updated: 2020-04-04
Privacy Attacks on Network Embeddings
Authors: Michael Ellers, Michael Cochez, Tobias Schumacher, Markus Strohmaier, Florian Lemmerich | Published: 2019-12-23
secml: A Python Library for Secure and Explainable Machine Learning
Authors: Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio | Published: 2019-12-20 | Updated: 2022-05-13
Explainability and Adversarial Robustness for RNNs
Authors: Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby | Published: 2019-12-20 | Updated: 2020-02-19