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
Adversarial robustness
Understanding how AI models respond to adversarial inputs and how they can be protected.
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
AdvPIIBench - The Adversarial Collapse of PII Detection in LLM Interactions
Roei Arpaly and Yoni Birman investigate how adversarial prompts challenge the detection of personally identifiable information in LLM interactions.