Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
Authors: MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif, Aleksander Essex, Abdallah Shami | Published: 2020-08-05
機械学習
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Authors: Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu | Published: 2020-08-05
Swipe dynamics as a means of authentication: results from a Bayesian unsupervised approach
Authors: Parker Lamb, Alexander Millar, Ramon Fuentes | Published: 2020-07-27 | Updated: 2020-10-13
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
Authors: Nuria Rodríguez-Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, M. Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera | Published: 2020-07-02 | Updated: 2020-10-06
COVID-19 and Your Smartphone: BLE-based Smart Contact Tracing
Authors: Pai Chet Ng, Petros Spachos, Konstantinos Plataniotis | Published: 2020-05-28
On the Difficulty of Membership Inference Attacks
Authors: Shahbaz Rezaei, Xin Liu | Published: 2020-05-27 | Updated: 2021-03-22
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure
Authors: Koorosh Aslansefat, Ioannis Sorokos, Declan Whiting, Ramin Tavakoli Kolagari, Yiannis Papadopoulos | Published: 2020-05-27
A Protection against the Extraction of Neural Network Models
Authors: Hervé Chabanne, Vincent Despiegel, Linda Guiga | Published: 2020-05-26 | Updated: 2020-07-31
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
Authors: Shuhan Yuan, Xintao Wu | Published: 2020-05-25
Malware Detection at the Microarchitecture Level using Machine Learning Techniques
Authors: Abigail Kwan | Published: 2020-05-25