presentation, Privacy Enhancing Technologies Symposium 2025 (PETs), Washington D.C., United States
Presented a dynamic-based method to identify privacy settings of third-party SDKs in Android apps. The method was used to analyze over 6,000 real apps to understand developer choices and inconsistencies in apps.
talk, Guest Seminar at Queen Mary University of London, London, United Kingdom
Invited by Ignacio Castro and his research group to present recent methods and findings in automated GDPR compliance assessment in Android apps.
presentation, International Workshop on Privacy Engineering (IWPE 2024), Vienna, Austria
Presentation of our study on data retention transparency in Android apps, based on large-scale analysis using GPT-4.
presentation, CyLab Partners Conference 2023, Carnegie Mellon University, Pittsburgh, USA
Presented a poster on automated at-scale analysis of apps privacy disclosures as part of the CMU CyLab Partners Conference 2023.
presentation, International Workshop on Privacy Engineering (IWPE 2023), Delft, Netherlands
Awarded Second Best Presentation. Presented cross-platform analysis of privacy labels and the inconsistencies with real app behavior.
talk, 19th International Conference on Security and Cryptography (SECRYPT 2022), Lisbon, Portugal
Poster presentation of our method to identify recipient organizations of personal data in Android apps, combining WHOIS, SSL, and privacy policy analysis with 94.73% precision.
presentation, International Workshop on Privacy Engineering (IWPE 2022), Genoa, Italy
Awarded Best Presentation. Presented our findings on the variability of geolocation services and their implications for GDPR compliance.