Federated Model Distillation with Noise-Free Differential Privacy
Authors: Lichao Sun, Lingjuan Lyu | Published: 2020-09-11 | Updated: 2021-05-21
機械学習技術
Attribute Privacy: Framework and Mechanisms
Authors: Wanrong Zhang, Olga Ohrimenko, Rachel Cummings | Published: 2020-09-08 | Updated: 2021-05-11
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
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
Authors: Mitch Hill, Jonathan Mitchell, Song-Chun Zhu | Published: 2020-05-27 | Updated: 2021-03-18
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
Effects of Forward Error Correction on Communications Aware Evasion Attacks
Authors: Matthew DelVecchio, Bryse Flowers, William C. Headley | Published: 2020-05-27
A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices
Authors: Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang | Published: 2020-05-26 | Updated: 2020-08-17
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