CAMLIS

Keyphrases

Publications

volume 3391, 2023

Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022. CAMLIS 3391 (2023)

2022

Subhabrata Majumdar, Ganesh Subramaniam
Network Security Modelling with Distributional Data. CAMLIS (2022)
Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis
Inroads into Autonomous Network Defence using Explained Reinforcement Learning. CAMLIS (2022)
Andrew E. Hong, Peter P. Malinovsky, Suresh Damodaran
Temporal Attack Detection in Multimodal Cyber-Physical Systems with Sticky HDP-HMM. CAMLIS (2022)
Doug Sibley
Learning to Embed Byte Sequences with Convolutional Autoencoders. CAMLIS (2022)
Bhavna Soman, Ali Torkamani, Michael J. Morais, Jeffrey Bickford, Baris Coskun
Firenze: Model Evaluation Using Weak Signals. CAMLIS (2022)
Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt
Efficient Malware Analysis Using Metric Embeddings. CAMLIS (2022)
François Labrèche, Serge-Olivier Paquette
Threat Class Predictor: An explainable framework for predicting vulnerability threat using topic and trend modeling. CAMLIS (2022)
André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? CAMLIS (2022)