Sai Teja Peddinti
Sai Teja Peddinti is a Research Scientist in the Infrastructure Security and Privacy group at Google. He received his PhD in Computer Science from New York University in 2015. The focus of his PhD work was in large scale data-driven analysis to understand user privacy preferences and concerns, and to evaluate effectiveness of privacy solutions. His research interests are in privacy, machine learning, network and cloud security, and cryptography.
Authored Publications
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Google
A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends
Omer Akgul
Michelle Mazurek
Benoit Seguin
2024
Unveiling Privacy Perspectives about Mobile Health Apps on a Large Scale
PETS workshop: Privacy, Safety and Trust for Mobile Health Apps (2024)
Towards Fine-Grained Localization of Privacy Behaviors
Vijayanta Jain
Sepideh Ghanavati
Collin McMillan
2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), pp. 258-277
Analyzing User Perspectives on Mobile App Privacy at Scale
International Conference on Software Engineering (ICSE) (2022)
PAcT: Detecting and Classifying Privacy Behavior of Android Applications
Vijayanta Jain
Sanonda Datta Gupta
Sepideh Ghanavati
Collin McMillan
Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks, Association for Computing Machinery, New York, NY, USA (2022), 104–118
Hark: A Deep Learning System for Navigating Privacy Feedback at Scale
Rishabh Khandelwal
2022 IEEE Symposium on Security and Privacy (SP)
