Vol-3094⫷ Vol-3095 ⫸Vol-3096
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 |