382 citations · 391 across the 5 of their papers we have counts for
5 papers
NorBERT: NetwOrk Representations through BERT for Network Analysis and Management
Franck Le, Davis Wertheimer, Seraphin Calo +1
Deep neural network models have been very successfully applied to Natural Language Processing (NLP) and Image based tasks. Their application to network analysis and management task…
FLAP -- A Federated Learning Framework for Attribute-based Access Control Policies
Amani Abu Jabal, Elisa Bertino, Jorge Lobo +3
Technology advances in areas such as sensors, IoT, and robotics, enable new collaborative applications (e.g., autonomous devices). A primary requirement for such collaborations is…
Federated Learning for Coalition Operations
D. Verma, S. Calo, S. Witherspoon +8
Machine Learning in coalition settings requires combining insights available from data assets and knowledge repositories distributed across multiple coalition partners. In tactical…
Using AI/ML to gain situational understanding from passive network observations
D. Verma, S. Calo
The data available in the network traffic fromany Government building contains a significant amount ofinformation. An analysis of the traffic can yield insightsand situational unde…
Analyzing Federated Learning through an Adversarial Lens
Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal +1
Federated learning distributes model training among a multitude of agents, who, guided by privacy concerns, perform training using their local data but share only model parameter u…