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ORCIDCAMLIS 2022: Arlington, VA, USA
- Edward Raff, Sagar Samtani, Lauren Deason:
Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022. CEUR Workshop Proceedings 3391, CEUR-WS.org 2023 - Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis:
Inroads into Autonomous Network Defence using Explained Reinforcement Learning. 1-19 - Doug Sibley:
Learning to Embed Byte Sequences with Convolutional Autoencoders. 20-29 - Bhavna Soman, Ali Torkamani, Michael J. Morais, Jeffrey Bickford, Baris Coskun:
Firenze: Model Evaluation Using Weak Signals. 30-51 - Subhabrata Majumdar, Ganesh Subramaniam:
Network Security Modelling with Distributional Data. 52-64 - Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt:
Efficient Malware Analysis Using Metric Embeddings. 65-80 - 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? 81-99 - Andrew E. Hong, Peter P. Malinovsky, Suresh Damodaran:
Temporal Attack Detection in Multimodal Cyber-Physical Systems with Sticky HDP-HMM. 100-112 - François Labrèche, Serge-Olivier Paquette:
Threat Class Predictor: An explainable framework for predicting vulnerability threat using topic and trend modeling. 113-124
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