Paper-Conference

LLM-Powered Analysis of IoT User Reviews: Tracking and Ranking Security and Privacy Concerns

Nov 18, 2025

Large Language Models for Real-World IoT Device Identification

Nov 18, 2025

Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference

Nov 18, 2025

"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe

An earlier and shorter version of this paper appeared in the SOUPS Workshop on SUPA: Societal & User-Centered Privacy in AI, 2024.

Aug 10, 2025

A decade of privacy-relevant Android app reviews: large scale trends

An extended version of this work is available on arXiv.

Aug 14, 2024

Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives

Aug 11, 2024

Evaluating privacy perceptions, experience, and behavior of software development teams

Aug 10, 2024

Unveiling Privacy Perspectives about Mobile Health Apps on a Large Scale

Jul 15, 2024

Towards Fine-Grained Localization of Privacy Behaviors

A preprint version of this paper is available on arXiv.

Jul 3, 2023

Hark: A Deep Learning System for Navigating Privacy Feedback at Scale

May 23, 2022