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ORCIDCAMLIS 2021: Arlington, VA, USA
- Edward Raff, Hyrum S. Anderson, Sagar Samtani:
Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, November 4-5, 2021. CEUR Workshop Proceedings 3095, CEUR-WS.org 2022 - Kate Highnam, Kai Arulkumaran, Zach Hanif, Nicholas R. Jennings:
BETH Dataset: Real Cybersecurity Data for Unsupervised Anomaly Detection Research. 1-12 - Richard E. Harang, Ethan M. Rudd:
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection. 13-21 - Stephen Moskal, Shanchieh Jay Yang:
Heated Alert Triage (HeAT): Network-Agnostic Extraction of Cyber Attack Campaigns. 22-35 - Daniel Grahn, Junjie Zhang:
An Analysis of C/C++ Datasets for Machine Learning-Assisted Software Vulnerability Detection. 36-53 - Robert J. Joyce, Edward Raff, Charles Nicholas:
Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time. 54-69 - Nancirose Piazza, Yaser Faghan, Vahid Behzadan, Ali Fathi:
Adversarial Attacks on Deep Algorithmic Trading Policies. 70-83 - Gordon Werner, Shanchieh Jay Yang:
CLEAR-ROAD: Extraction of Temporally Co-occurring yet Rare Critical Alerts. 84-98 - Nick Gregory, Harini Kannan:
Using Undocumented Hardware Performance Counters to Detect Spectre-Style Attacks. 99-107 - Andy Applebaum:
Kipple: Towards accessible, robust malware classification. 108-123
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