• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 23 matches

• 2024
• 
  Lauren Deason, Sagar Samtani, Edward Raff, Ethan M. Rudd:
  Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023. CEUR Workshop Proceedings 3652, CEUR-WS.org 2024 [contents]
• 2023
• 
  Alberto Acuto, Simon Maskell, Jack D.:
  Defending the unknown: Exploring reinforcement learning agents' deployment in realistic, unseen networks. CAMLIS 2023: 22-35
• 
  Lewis Birch, William Hackett, Stefan Trawicki, Neeraj Suri, Peter Garraghan:
  Model Leeching: An Extraction Attack Targeting LLMs. CAMLIS 2023: 91-104
• 
  Josh Collyer, Tim Watson, Iain Phillips:
  FASER: Binary Code Similarity Search through the use of Intermediate Representations. CAMLIS 2023: 193-202
• 
  Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings:
  Adaptive Experimental Design for Intrusion Data Collection. CAMLIS 2023: 134-151
• 
  Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt:
  MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CAMLIS 2023: 105-121
• 
  Kobra Khanmohammadi, Raphaël Khoury:
  Half-Day Vulnerabilities: A study of the First Days of CVE Entries. CAMLIS 2023: 152-180
• 
  Zefang Liu, John F. Buford:
  Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches. CAMLIS 2023: 60-76
• 
  Rebecca Lynch, Lauren Saue-Fletcher:
  Proxy in a Haystack: Uncovering and Classifying MFA Bypass Phishing Attacks in Large-Scale Authentication Data. CAMLIS 2023: 122-133
• 
  Béatrice Moissinac, Elie Saad, Miranda Clay, Maialen Berrondo:
  Detecting SQL Injection Attacks using Machine Learning. CAMLIS 2023: 49-59
• 
  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: 181-192
• 
  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: 77-90
• 
  Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin:
  Web Content Filtering Through Knowledge Distillation of Large Language Models. CAMLIS 2023: 1-21
• 
  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: 36-48
• 
  Edward Raff, Sagar Samtani, Lauren Deason:
  Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022. CEUR Workshop Proceedings 3391, CEUR-WS.org 2023 [contents]
• 2022
• 
  Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis:
  Inroads into Autonomous Network Defence using Explained Reinforcement Learning. CAMLIS 2022: 1-19
• 
  Andrew E. Hong, Peter P. Malinovsky, Suresh Damodaran:
  Temporal Attack Detection in Multimodal Cyber-Physical Systems with Sticky HDP-HMM. CAMLIS 2022: 100-112
• 
  François Labrèche, Serge-Olivier Paquette:
  Threat Class Predictor: An explainable framework for predicting vulnerability threat using topic and trend modeling. CAMLIS 2022: 113-124
• 
  Subhabrata Majumdar, Ganesh Subramaniam:
  Network Security Modelling with Distributional Data. CAMLIS 2022: 52-64
• 
  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? CAMLIS 2022: 81-99
• 
  Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt:
  Efficient Malware Analysis Using Metric Embeddings. CAMLIS 2022: 65-80
• 
  Doug Sibley:
  Learning to Embed Byte Sequences with Convolutional Autoencoders. CAMLIS 2022: 20-29
• 
  Bhavna Soman, Ali Torkamani, Michael J. Morais, Jeffrey Bickford, Baris Coskun:
  Firenze: Model Evaluation Using Weak Signals. CAMLIS 2022: 30-51