Animesh Srivastava
Animesh Srivastava is a member of Applied Privacy Research group at Google. He received his PhD in Computer Science from Duke University, USA in 2017 where he focused on building access mechanisms for mobile operating system to prevent inadvertent visual leaks and protect users' privacy. His wider research interests include applications of natural language processing and machine learning to privacy, modelling user behavior by leveraging large scale data to understand users' privacy and security concerns, and building usable privacy and security solutions.
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Google
Unveiling Privacy Perspectives about Mobile Health Apps on a Large Scale
PETS workshop: Privacy, Safety and Trust for Mobile Health Apps (2024)
A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends
Omer Akgul
Michelle Mazurek
Benoit Seguin
2024
Hark: A Deep Learning System for Navigating Privacy Feedback at Scale
Rishabh Khandelwal
2022 IEEE Symposium on Security and Privacy (SP)
