| Vol-3095 urn:nbn:de:0074-3095-9 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 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 2021
Conference on Applied Machine Learning in Information Security

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

### Arlington, Virginia, USA, November 4-5, 2021.

Edited by

### Edward Raff *
Hyrum Anderson **
Sagar Samtani ***

* Booz Allen Hamilton, 304 Sentinel Drive, Annapolis Junction, MD, USA
** Microsoft, One Microsoft Way, Redmond, WA, USA
*** Indiana University, 107 S Indiana Ave, Bloomington, IN, USA

## Table of Contents

- Preface
  Summary: CAMLIS is a home for the intersecion of academic and industry work, and had 22 talks accepted, with 9 contributing to the proceedings.

- BETH Dataset: Real Cybersecurity Data for Unsupervised Anomaly Detection Research 1-12
  Kate Highnam, Kai Arulkumaran, Zachary Hanif, Nicholas R. Jennings
- SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection 13-21
  Richard Harang, Ethan M. Rudd
- Heated Alert Triage (HeAT): Network-Agnostic Extraction of Cyber Attack Campaigns 22-35
  Stephen Moskal, Shanchieh Jay Yang
- An Analysis of C/C++ Datasets for Machine Learning-Assisted Software Vulnerability Detection 36-53
  Daniel Grahn, Junjie Zhang
- Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time 54-69
  Robert J. Joyce, Edward Raff, Charles Nicholas
- Adversarial Attacks on Deep Algorithmic Trading Policies 70-83
  Nancirose Piazza, Yaser Faghan, Vahid Behzadan, Ali Fathi
- CLEAR-ROAD: Extraction of Temporally Co-occurring yet Rare Critical Alerts 84-98
  Gordon Werner, Shanchieh Jay Yang
- Using Undocumented Hardware Performance Counters to Detect Spectre-Style Attacks 99-107
  Nick Gregory, Harini Kannan
- Kipple: Towards accessible, robust malware classification 108-123
  Andy Applebaum

2022-02-02: submitted by Edward Raff, metadata incl. bibliographic data published under Creative Commons CC0
2022-02-28: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|