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Results
Found 23 publication records. Showing 23 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Lauren Deason, Sagar Samtani, Edward Raff, Ethan M. Rudd (eds.) |
Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![CEUR-WS.org The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings |
Adaptive Experimental Design for Intrusion Data Collection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 134-151, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt |
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 105-121, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt |
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 181-192, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Kobra Khanmohammadi, Raphaël Khoury |
Half-Day Vulnerabilities: A study of the First Days of CVE Entries. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 152-180, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Lewis Birch, William Hackett, Stefan Trawicki, Neeraj Suri, Peter Garraghan |
Model Leeching: An Extraction Attack Targeting LLMs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 91-104, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Zefang Liu, John F. Buford |
Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 60-76, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Rebecca Lynch, Lauren Saue-Fletcher |
Proxy in a Haystack: Uncovering and Classifying MFA Bypass Phishing Attacks in Large-Scale Authentication Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 122-133, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Béatrice Moissinac, Elie Saad, Miranda Clay, Maialen Berrondo |
Detecting SQL Injection Attacks using Machine Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 49-59, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | 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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 36-48, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin |
Web Content Filtering Through Knowledge Distillation of Large Language Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 1-21, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | 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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 77-90, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Edward Raff, Sagar Samtani, Lauren Deason (eds.) |
Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![CEUR-WS.org The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Alberto Acuto 0001, Simon Maskell, Jack D. |
Defending the unknown: Exploring reinforcement learning agents' deployment in realistic, unseen networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 22-35, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Josh Collyer, Tim Watson, Iain Phillips |
FASER: Binary Code Similarity Search through the use of Intermediate Representations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023., pp. 193-202, 2023, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Subhabrata Majumdar, Ganesh Subramaniam |
Network Security Modelling with Distributional Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022., pp. 52-64, 2022, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis |
Inroads into Autonomous Network Defence using Explained Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022., pp. 1-19, 2022, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Andrew E. Hong, Peter P. Malinovsky, Suresh Damodaran |
Temporal Attack Detection in Multimodal Cyber-Physical Systems with Sticky HDP-HMM. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022., pp. 100-112, 2022, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Doug Sibley |
Learning to Embed Byte Sequences with Convolutional Autoencoders. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022., pp. 20-29, 2022, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Bhavna Soman, Ali Torkamani, Michael J. Morais, Jeffrey Bickford, Baris Coskun |
Firenze: Model Evaluation Using Weak Signals. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022., pp. 30-51, 2022, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt |
Efficient Malware Analysis Using Metric Embeddings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022., pp. 65-80, 2022, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | François Labrèche, Serge-Olivier Paquette |
Threat Class Predictor: An explainable framework for predicting vulnerability threat using topic and trend modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022., pp. 113-124, 2022, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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1 | André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt |
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAMLIS ![In: Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022., pp. 81-99, 2022, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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