Publications

Dinil Mon Divakaran, Sai Teja Peddinti (2024). Large Language Models for Cybersecurity: New Opportunities. IEEE S&P.

Omer Akgul, Sai Teja Peddinti, Nina Taft, Michelle L. Mazurek, Hamza Harkous, Animesh Srivastava, Benoit Seguin (2024). A decade of privacy-relevant Android app reviews: large scale trends. USENIX Security.

Stephen Meisenbacher, Alexandra Klymenko, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes (2024). Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives. SUPA.

Maxwell Prybylo, Sara Haghighi, Sai Teja Peddinti, Sepideh Ghanavati (2024). Evaluating privacy perceptions, experience, and behavior of software development teams. SOUPS.

Animesh Srivastava, Sai Teja Peddinti, Nina Taft (2024). Unveiling Privacy Perspectives about Mobile Health Apps on a Large Scale. PETS workshop: Privacy, Safety and Trust for Mobile Health Apps.

Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan (2023). Towards Fine-Grained Localization of Privacy Behaviors. EuroS&P.

Hamza Harkous, Sai Teja Peddinti, Rishabh Khandelwal, Animesh Srivastava, Nina Taft (2022). Hark: A Deep Learning System for Navigating Privacy Feedback at Scale. IEEE S&P.

Vijayanta Jain, Sanonda Datta Gupta, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan (2022). PAcT: Detecting and Classifying Privacy Behavior of Android Applications. ACM WiSec.

Preksha Nema, Pauline Anthonysamy, Nina Taft, Sai Teja Peddinti (2022). Analyzing user perspectives on mobile app privacy at scale. ICSE.

Weicheng Cao, Chunqiu Xia, Sai Teja Peddinti, David Lie, Nina Taft, Lisa M. Austin (2021). A Large Scale Study of User Behavior, Expectations and Engagement with Android Permissions. USENIX Security.