Publications

(2027). Understanding Help Seeking for Digital Privacy, Safety, and Security. PETS.
(2026). Verity: A Framework to Generate Privacy Captions from Android Source Code using LLMs. SCAM.
(2026). "You have been selected as the winner": Characterizing User-Reported Scams on TikTok. SOUPS.
(2026). Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI. SOUPS.
(2026). HelpBench: Assessing the Ability of LLMs to Provide Privacy, Safety, and Security Advice. arXiv.
(2026). LLM-Powered Analysis of IoT User Reviews: Tracking and Ranking Security and Privacy Concerns. ICWSM.
(2026). Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference. CHI.
(2025). What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale. CoNEXT.
(2025). "We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe. SOUPS.