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Paper · 2026

AdvPIIBench: The Adversarial Collapse of PII Detection in LLM Interactions

Roei Arpaly and Yoni Birman's paper and oral presentation at SECAI 2026 @ ESORICS; accepted manuscript available, Springer LNCS proceedings forthcoming.

Roei Arpaly, Dr. Yoni Birman

SECAI 2026 @ ESORICS · Paper and oral presentation

Roei Arpaly explaining PII values and contextual cues during the SECAI 2026 presentation.
Roei Arpaly presenting AdvPIIBench at SECAI 2026 @ ESORICS in Rome.

Paper and presentation

Presented orally at SECAI 2026, an ESORICS workshop in Rome in September 2026. The accepted manuscript is available from the authors. Publication in the Springer Lecture Notes in Computer Science proceedings is forthcoming.

Research focus

The paper develops an attack taxonomy and a benchmark for evaluating PII detectors in LLM interactions. It investigates attacks on sensitive values, contextual cues and prompt framing. The project page connects the research findings, code and dataset.

Read the accepted manuscript · Workshop programme · Author project page