2024 Presentations

Lisa Einstein: Keynote - Cybersecurity and Infrastructure Security Agency (CISA)

Gary Lopez Munoz: PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI Systems

Madeline Cheah: Towards autonomous cyber-defence: using co-operative decision making for cybersecurity

Kyla Guru: End-to-End Framework using LLMs for Technique Identification and Threat-Actor Attribution

Rodrigo Bersa and Tadesse Zemichael: LLM Agents for Vulnerability Identification and Verification of CVEs

Kaixi Yang: DIP-ECOD: Improving Anomaly Detection in Multimodal Distributions

Nathan Ross: PEVuln: A Benchmark Dataset for Using Machine Learning to Detect Vulnerabilities in PE Malware

David Krisiloff: Structure and Semantics-Aware Malware Classification with Vision Transformers

Manish Marwah: Is F1 Score Suboptimal for Cybersecurity Models? Introducing Cscore, a Cost-Aware Alternative for Model Assessment

Joshua Saxe: Keynote - You’ll Never Guess What Happens Next: Acting to Ensure AI Benefits Cyber Defense in a Decade of Technological Surprise

Keegan Hines: Defending Against Indirect Prompt Injection Attacks With Spotlighting

Christopher Galbraith: Let’s Make it Personal: Customizing Threat Intelligence with Metric Learning

Derek Everett: Hamm-Grams: Mining Common Regular Expressions via Locality Sensitive Hashing

Ram Shankar Siva Kumar and Hyrum Anderson: Keynote Panel

Amelia Kawasaki: Defending Large Language Models Against Attacks With Residual Stream Activation Analysis

Dimitris Mouris: Curl: Private LLMs through Wavelet-Encoded Look-Up Tables

Tamás Vörös: LLM Backdoor Activations Stick Together

William Fleshman: AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees