Presentations Our work in our own words
BSides LV 2022: Security AI in the Real World: Lessons Learned from Building Practical Machine Learning Systems Deployed to Hundreds of Thousands of Networks
RSA Conference 2022: Assessing Vendor AI Claims like a Data Scientist, Even if You Aren’t One
BSidesBUD2022: Automating False Positive Whack-a-Mole with Real-Time Behavioral Analytics
BSidesBUD2022: Acceptable Use of Internet; Categorizing The Web at Scale
AI vs AI: Creating Novel Spam and Catching it with Text Generating AI
GPT is a powerful text generation model, but its text generation is unconstrained. This session will discuss how to control GPT to produce sentences which meet specific style or content requirements. The session will review approaches that allow attendees to drive GTP to write SPAM and HAM messages and will demonstrate how to convert GPT into a SPAM filter which detects the generated SPAM.
BSides LV 2021: Bad Neighborhoods – data-driven detection of malicious internet infrastructure
DEF CON 28 AI Village: Detecting hand-crafted social engineering emails with a bleeding-edge neural language model
Learning from Context: A Multi-view Deep Learning Architecture for Malware Detection
Machine learning (ML) used for static portable executable (PE) malware detection typically employs per-file numerical feature vector representations as input […]
Describing Malware via Tagging
Although powerful for conviction of malicious artifacts, machine learning based detection do not generally produce further information about the type […]