Concept
Network security
Related publications (40)
Machine Learning Security Against Data Poisoning: Are We There Yet?
Poisoning attacks compromise the training data utilized to train machine learning (ML) models, diminishing their overall performance, manipulating predictions on specific test samples, and implanting backdoors. This article thoughtfully explores these atta ...
Ieee Computer Soc2024Annotation-efficient image anomaly detection
The present invention proposes a method for detecting anomalous or out-of-distribution images in a machine learning system (1) comprising a pre-training network with a first encoder, and an anomaly detection network with a second encoder. The system is fir ...
2022OrthoNet: Multilayer Network Data Clustering
Pascal Frossard, Mireille El Gheche, Giovanni Chierchia
Network data appears in very diverse applications, like biological, social, or sensor networks. Clustering of network nodes into categories or communities has thus become a very common task in machine learning and data mining. Network data comes with some ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020