|
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
*
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|