In focus
Publication · 2026
Breaking and Defending LLM-Powered Social Media Bot Detection Systems
A study of attacks and defences for language-model systems that identify social media bots.
Explore the story ↗Research topic
Threat detection
Exploring learning methods that help identify and understand cybersecurity threats.
Connected questions. New possibilities.
A closer look
Ideas taking shape.
Publication
Publication 2026
Inference Attacks and Defenses on LLM-Powered Phishing Email Detection Systems
Frederik Sherman and Yoni Birman study inference attacks and defenses for LLM-powered phishing email detection. The paper is available through the HumSec 2026 workshop.
Publication
Publication 2026
Inference Attacks and Defenses on LLM-Powered Email Phishing Detection Systems
Frederik Sherman and Yoni Birman explore attacks and defenses involving LLM-powered phishing detection, presented at the USENIX Security 2026 poster session.