| Vol-3391 urn:nbn:de:0074-3391-5 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# CAMLIS 2022
Conference on Applied Machine Learning in Information Security

### Proceedings of the Conference on Applied Machine Learning in Information Security

### Arlington, Virginia, USA, October 20-21, 2022.

Edited by

### Edward Raff *
Sagar Samtani **
Lauren Deason ***

* Booz Allen Hamilton, 304 Sentinel Drive, Annapolis Junction, MD, USA
** Indiana University, 107 S Indiana Ave, Bloomington, IN, USA
*** Meta, One Hacker Way Menlo Park, CA, USA

## Table of Contents

- Inroads into Autonomous Network Defence using Explained Reinforcement Learning 1-19
  Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis
- Learning to Embed Byte Sequences with Convolutional Autoencoders 20-29
  Doug Sibley
- Firenze: Model Evaluation Using Weak Signals 30-51
  Bhavna Soman, Ali Torkamani, Michael J. Morais, Jeffrey Bickford, Baris Coskun
- Network Security Modelling with Distributional Data 52-64
  Subhabrata Majumdar, Ganesh Subramaniam
- Efficient Malware Analysis Using Metric Embeddings 65-80
  Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt
- Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? 81-99
  Andre T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
- Temporal Attack Detection in Multimodal Cyber-Physical Systems with Sticky HDP-HMM 100-112
  Andrew E. Hong, Peter P. Malinovsky, Suresh Damodaran
- Threat Class Predictor: An explainable framework for predicting vulnerability threat using topic and trend modeling 113-124
  François Labrèche, Serge-Olivier Paquette

2023-03-12: submitted by Edward Raff, metadata incl. bibliographic data published under Creative Commons CC0
2023-05-14: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|