Federated Model Distillation with Noise-Free Differential Privacy
Authors: Lichao Sun, Lingjuan Lyu | Published: 2020-09-11 | Updated: 2021-05-21
評価手法
Privacy-preserving feature selection: A survey and proposing a new set of protocols
Authors: Javad Rahimipour Anaraki, Saeed Samet | Published: 2020-08-17
A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems
Authors: Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos, XiaoRui Liu, Raj Gautam Dutta, Yier Jin, Charalambos Konstantinou | Published: 2020-08-16
Network Intrusion Detection Using Wrapper-based Decision Tree for Feature Selection
Authors: Mubarak Albarka Umar, Chen Zhanfang, Yan Liu | Published: 2020-08-11
How to compare adversarial robustness of classifiers from a global perspective
Authors: Niklas Risse, Christina Göpfert, Jan Philip Göpfert | Published: 2020-04-22 | Updated: 2020-10-15
Secure Evaluation of Quantized Neural Networks
Authors: Anders Dalskov, Daniel Escudero, Marcel Keller | Published: 2019-10-28 | Updated: 2021-03-01
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning
Authors: Mathieu N Galtier, Camille Marini | Published: 2019-10-25
A Note on Our Submission to Track 4 of iDASH 2019
Authors: Marcel Keller, Ke Sun | Published: 2019-10-24
Side-Channel Aware Fuzzing
Authors: Philip Sperl, Konstantin Böttinger | Published: 2019-08-14
Provable robustness against all adversarial $l_p$-perturbations for $p\geq 1$
Authors: Francesco Croce, Matthias Hein | Published: 2019-05-27 | Updated: 2020-04-24