208 citations · 257 across the 3 of their papers we have counts for
4 papers
Applied Federated Learning: Architectural Design for Robust and Efficient Learning in Privacy Aware Settings
Branislav Stojkovic, Jonathan Woodbridge, Zhihan Fang +8
The classical machine learning paradigm requires the aggregation of user data in a central location where machine learning practitioners can preprocess data, calculate features, tu…
Detecting Homoglyph Attacks with a Siamese Neural Network
Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja +1
A homoglyph (name spoofing) attack is a common technique used by adversaries to obfuscate file and domain names. This technique creates process or domain names that are visually si…
Predicting Domain Generation Algorithms with Long Short-Term Memory Networks
Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja +1
Various families of malware use domain generation algorithms (DGAs) to generate a large number of pseudo-random domain names to connect to a command and control (C&C) server. In or…
DeepDGA: Adversarially-Tuned Domain Generation and Detection
Hyrum S. Anderson, Jonathan Woodbridge, Bobby Filar
Many malware families utilize domain generation algorithms (DGAs) to establish command and control (C&C) connections. While there are many methods to pseudorandomly generate domain…