Publications

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.

Vijayanta Jain, Sanonda Datta Gupta, Sepideh Ghanavati, Sai Teja Peddinti (2021). PriGen: Towards Automated Translation of Android Applications' Code to Privacy Captions. RCIS.

Sai Teja Peddinti, Igor Bilogrevic, Nina Taft, Martin Pelikan, Úlfar Erlingsson, Pauline Anthonysamy, Giles Hogben (2019). Reducing Permission Requests in Mobile Apps. ACM IMC.

Bram Bonné, Sai Teja Peddinti, Igor Bilogrevic, Nina Taft (2017). Exploring decision making with android's runtime permission dialogs using in-context surveys. USENIX SOUPS.

Sai Teja Peddinti, Keith W. Ross, Justin Cappos (2017). User Anonymity on Twitter. IEEE S&P (Magazine).

Sai Teja Peddinti, Keith Ross, Justin Cappos (2016). Finding Sensitive Accounts on Twitter: An Automated Approach Based on Follower Anonymity. ICWSM.

Sai Teja Peddinti, Allen Collins, Aaron Sedley, Nina Taft, Anna Turner, Allison Woodruff (2015). Perceived Frequency of Advertising Practices. SOUPS PPS.