CAMLIS Posters
A Platform for Rapidly Developing and Deploying Protection Against Large Language Models Attacks
Presenter: Konstantin Berlin
Accelerating Cyber Defense with Applied Open-Weight LLMs
Presenter: Ryan Fetterman
Anomaly Detection Betrayed Us, so We Gave It a New Job: Enhancing Command-Line Classification with Benign Anomalous Data
Presenter: Ben Gelman
Base Rate Measurement and Precision Forecasting
Presenter: Michael Slawinski
Benchmarking Agentic LLMs for Vulnerability Management: Exposing and Mitigating Situational Awareness Bias
Presenter: Dmitrijs Trizna
Causal Reinforcement Learning for Labelling Optimization in Cyber Anomaly Detection
Presenter: Susan Babirye
Dynamic Graph Structure for Tracking Cluster Evolution and LLM Summarization
Presenter: Michael Slawinksi
Evaluating LLM Generated Detection Rules in Cybersecurity
Presenter: Anna Bertiger
Glass-box triage: An explainable-by-design LLM-ML-Human framework for high scale production threat detection
Presenter: Caleb Fogleman
Harnessing Large Language Models for Detection of AI Generated Attacks
Presenter: Abhishek Singh
Mutually-exciting point processes and topic modelling of honeypot computer terminal data
Presenter: Daniyar Ghani
Offensive Security for AI Systems: Concepts, Practices, and Applications
Presenter: Josh Harguess
PentestJudge: Autonomous Process Evaluation for AI Security Agents
Presenter: Shane Caldwell
RADAR: Open-Source Detection of Agentic Deception and Alignment Risk in LLMs
Presenter: Edward Joseph
RoleSentry: A Multi-Stage Framework for Explainable Detection of AWS Role Chaining Attacks
Presenter: Godwin Attigah
CAMLIS Red Posters
Ask What Your Country Can Do For You: Towards a Public Red Teaming Model
Presenter: Wm. Matthew Kennedy
Detecting Complex Vulnerabilities in Real-World Code - New Benchmark for Enhanced Software Security
Presenter: Klaudia Kloc
LLM backdoor poisoning: attacks and detections
Presenter: Nir Rosen