CAMLIS

Keyphrases

Publications

volume 3652, 2024

Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023. CAMLIS 3652 (2024)

2023

Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings
Adaptive Experimental Design for Intrusion Data Collection. CAMLIS (2023)
Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CAMLIS (2023)
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CAMLIS (2023)
Kobra Khanmohammadi, Raphaël Khoury
Half-Day Vulnerabilities: A study of the First Days of CVE Entries. CAMLIS (2023)
Lewis Birch, William Hackett, Stefan Trawicki, Neeraj Suri, Peter Garraghan
Model Leeching: An Extraction Attack Targeting LLMs. CAMLIS (2023)
Zefang Liu, John F. Buford
Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches. CAMLIS (2023)
Rebecca Lynch, Lauren Saue-Fletcher
Proxy in a Haystack: Uncovering and Classifying MFA Bypass Phishing Attacks in Large-Scale Authentication Data. CAMLIS (2023)
Béatrice Moissinac, Elie Saad, Miranda Clay, Maialen Berrondo
Detecting SQL Injection Attacks using Machine Learning. CAMLIS (2023)
Alec Wilson, Ryan Menzies, Neela Morarji, David Foster, Marco Casassa Mont, Esin Turkbeyler, Lisa Gralewski
Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security. CAMLIS (2023)
Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin
Web Content Filtering Through Knowledge Distillation of Large Language Models. CAMLIS (2023)
Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen
Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CAMLIS (2023)
Alberto Acuto, Simon Maskell, Jack D.
Defending the unknown: Exploring reinforcement learning agents' deployment in realistic, unseen networks. CAMLIS (2023)
Josh Collyer, Tim Watson, Iain Phillips
FASER: Binary Code Similarity Search through the use of Intermediate Representations. CAMLIS (2023)

volume 3391, 2023

Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022. CAMLIS 3391 (2023)

2022