Publications

(2026). Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference. CHI'26.
(2026). Understanding Help Seeking for Digital Privacy, Safety, and Security. arXiv.
(2026). Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models. arXiv.
(2025). LLM-Powered Analysis of IoT User Reviews: Tracking and Ranking Security and Privacy Concerns. ICWSM.
(2025). Large Language Models for Real-World IoT Device Identification. arXiv.
(2025). "We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe. SOUPS.
(2024). Large Language Models for Cybersecurity: New Opportunities. IEEE S&P.
(2024). A decade of privacy-relevant Android app reviews: large scale trends. USENIX Security.
(2024). Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives. SUPA.
(2024). Evaluating privacy perceptions, experience, and behavior of software development teams. SOUPS.