DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning
Authors: Ismat Jarin, Birhanu Eshete | Published: 2021-12-24
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Parameter identifiability of a deep feedforward ReLU neural network
Authors: Joachim Bona-Pellissier, François Bachoc, François Malgouyres | Published: 2021-12-24 | Updated: 2023-05-12
EIFFeL: Ensuring Integrity for Federated Learning
Authors: Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten | Published: 2021-12-23 | Updated: 2022-09-12
Mitigating Leakage from Data Dependent Communications in Decentralized Computing using Differential Privacy
Authors: Riad Ladjel, Nicolas Anciaux, Aurélien Bellet, Guillaume Scerri | Published: 2021-12-23
Statistical Feature-based Personal Information Detection in Mobile Network Traffic
Authors: Shuang Zhao, Shuhui Chen, Ziling Wei | Published: 2021-12-23
Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems
Authors: Islam Debicha, Thibault Debatty, Jean-Michel Dricot, Wim Mees, Tayeb Kenaza | Published: 2021-12-22
Towards Malicious address identification in Bitcoin
Authors: Deepesh Chaudhari, Rachit Agarwal, Sandeep Kumar Shukla | Published: 2021-12-22
Distributed Machine Learning and the Semblance of Trust
Authors: Dmitrii Usynin, Alexander Ziller, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis | Published: 2021-12-21
ANUBIS: A Provenance Graph-Based Framework for Advanced Persistent Threat Detection
Authors: Md. Monowar Anjum, Shahrear Iqbal, Benoit Hamelin | Published: 2021-12-21
Reputation-based PoS for the Restriction of Illicit Activities on Blockchain: Algorand Usecase
Authors: Mayank Pandey, Rachit Agarwal, Sandeep Kumar Shukla, Nishchal Kumar Verma | Published: 2021-12-21 | Updated: 2022-08-25