Synthia Wang, Sai Teja Peddinti, Nina Taft, Nick Feamster (2025). Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference. arXiv.

Rameen Mahmood, Tousif Ahmed, Sai Teja Peddinti, Danny Yuxing Huang (2025). Large Language Models for Real-World IoT Device Identification. arXiv.

Taufiq Islam Protick, Sai Teja Peddinti, Nina Taft, Anupam Das (2025). LLM-Powered Analysis of IoT User Reviews: Tracking and Ranking Security and Privacy Concerns. ICWSM.

Alexandra Klymenko, Stephen Meisenbacher, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes (2025). "We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe. SOUPS.

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.

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.

Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane (2015). Understanding Sensitivity by Analyzing Anonymity. IEEE S&P (Magazine).

Yuan Ding, Sai Teja Peddinti, Keith W. Ross (2014). Stalking Beijing from Timbuktu: A Generic Measurement Approach for Exploiting Location-Based Social Discovery. SPSM.

Sai Teja Peddinti, Keith W. Ross, Justin Cappos (2014). \"On the internet, nobody knows you're a dog\": a twitter case study of anonymity in social networks. COSN.

Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane (2014). Cloak and Swagger: Understanding Data Sensitivity through the Lens of User Anonymity. IEEE S&P.

Sai Teja Peddinti, Nitesh Saxena (2014). Web search query privacy: Evaluating query obfuscation and anonymizing networks. JCS.

Sai Teja Peddinti, Avis Dsouza, Nitesh Saxena (2011). Cover locations: availing location-based services without revealing the location. WPES.

Sai Teja Peddinti, Nitesh Saxena (2011). On the limitations of query obfuscation techniques for location privacy. Ubicomp.

Sai Teja Peddinti, Nitesh Saxena (2011). On the effectiveness of anonymizing networks for web search privacy. ASIACCS.

Sai Teja Peddinti, Nitesh Saxena (2010). On the privacy of web search based on query obfuscation: a case study of TrackMeNot. PETS.

Joyojeet Pal, Udai Pawar, Apurva Joshi, Mohit Jain, Sai Gopal Thota, Sai Teja Peddinti, Sukumar Anikar (2008). From pilot to practice: creating multiple input multimedia content for real-world deployment. IUI4DR.