Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework

Authors: Jiawen Kang, Zehui Xiong, Chunxiao Jiang, Yi Liu, Song Guo, Yang Zhang, Dusit Niyato, Cyril Leung, Chunyan Miao | Published: 2020-08-10

Local Differential Privacy and Its Applications: A Comprehensive Survey

Authors: Mengmeng Yang, Lingjuan Lyu, Jun Zhao, Tianqing Zhu, Kwok-Yan Lam | Published: 2020-08-09

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection

Authors: MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami | Published: 2020-08-09

A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets

Authors: Pedro Miguel Sánchez Sánchez, Jose María Jorquera Valero, Alberto Huertas Celdrán, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez | Published: 2020-08-07 | Updated: 2021-03-03

Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification

Authors: Sina Däubener, Asja Fischer | Published: 2020-08-07 | Updated: 2020-08-17

Optimizing Information Loss Towards Robust Neural Networks

Authors: Philip Sperl, Konstantin Böttinger | Published: 2020-08-07 | Updated: 2020-09-29

Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification

Authors: Wenjun Qiu, David Lie | Published: 2020-08-07

Stronger and Faster Wasserstein Adversarial Attacks

Authors: Kaiwen Wu, Allen Houze Wang, Yaoliang Yu | Published: 2020-08-06

New Directions in Automated Traffic Analysis

Authors: Jordan Holland, Paul Schmitt, Nick Feamster, Prateek Mittal | Published: 2020-08-06 | Updated: 2021-10-19

Data Minimization for GDPR Compliance in Machine Learning Models

Authors: Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash | Published: 2020-08-06