HumSec 2026 · ESORICS workshop
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.
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7 publications
HumSec 2026 · ESORICS workshop
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.
USENIX Security 2026 · Poster session
A USENIX Security 2026 poster presenting adversarial evaluation of privacy guardrails, by Roei Arpaly and Yoni Birman.
USENIX Security 2026 · Poster session
Frederik Sherman and Yoni Birman explore attacks and defenses involving LLM-powered phishing detection, presented at the USENIX Security 2026 poster session.
Pragmatic Cybersecurity, 2026, 1(2), Article 10
A study of attacks and defences for language-model systems that identify social media bots.
Roei Arpaly contributed adversarial input-leakage testing material to AITG-APP-04 in the OWASP AI Testing Guide.
SECAI 2026 @ ESORICS · Paper and oral presentation
Roei Arpaly and Yoni Birman's paper and oral presentation at SECAI 2026 @ ESORICS; accepted manuscript available, Springer LNCS proceedings forthcoming.
IEEE Symposium on Security and Privacy 2026 · Poster
An IEEE Symposium on Security and Privacy 2026 poster on adversarial attacks and ensemble defences for LLM-based bot detection.
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