Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
Authors: Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan | Published: 2020-08-11
文献データベース
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
Authors: Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong | Published: 2020-08-11 | Updated: 2020-12-09
Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors
Authors: Umar Iqbal, Steven Englehardt, Zubair Shafiq | Published: 2020-08-11
An Automated, End-to-End Framework for Modeling Attacks From Vulnerability Descriptions
Authors: Hodaya Binyamini, Ron Bitton, Masaki Inokuchi, Tomohiko Yagyu, Yuval Elovici, Asaf Shabtai | Published: 2020-08-10
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