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|