2023 Presentations

Shawn Richardson: Keynote - Lessons for AI Security Preparedness

Arjun Chakraborty: Threat Detection on Kubernetes Logs Using GNN Embeddings

Grant Gelven: Graph-Based User-Entity Behavior Analytics for Enterprise Insider Threat Detection

Josh Collyer: FASER: Binary Code Similarity Search through the use of Intermediate Representations

Becca Lynch: Proxy in a Haystack: Uncovering and Classifying MFA Bypass Phishing Attacks in Large-Scale Authentication Data

Konstantin Berlin: SQL Driven Infrastructure for Cybersecurity ML Operations

Tirth Patel: Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!

Kate Highnam: Adaptive Experimental Design for Intrusion Data Collection

Robert Joyce: MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers

Tom Goldstein: Keynote - Security Issues in Generative AI 

Cheng Wang: Enhancing Exfiltration Path Analysis Using Reinforcement Learning

Alec Wilson: Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security

Stefan Trawicki: Compilation as a Defense: Enhancing DL Model Attack Robustness via Tensor Optimization

Biagio Montaruli: Razing to the Ground Machine-Learning Phishing Webpage Detectors with Query-Efficient Adversarial HTML Attacks

Tamas Voros: Web content filtering through knowledge distillation of Large Language Models

Lewis Birch: Model Leeching: An Extraction Attack Targeting LLMs

Adarsh Kyadige: Playing Defense: Benchmarking Cybersecurity Capabilities of Large Language Models

Zefang Liu: Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches

Mark Breitenbach: Don’t you (forget NLP): prompt injection using repeated sequences in ChatGPT

Gary Lopez Munoz: LLM Prompt Injection: Attacks and Defenses