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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.
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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.
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.
Publication
Publication 2026
Poster: Breaking and Defending LLM-Powered Social Media Bot Detection Systems
An IEEE Symposium on Security and Privacy 2026 poster on adversarial attacks and ensemble defences for LLM-based bot detection.