| 2026 | CHI | Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference. | Synthia Qia Wang, Sai Teja Peddinti, Nina Taft, Nick Feamster |
| 2026 | SOUPS | Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI. | Jiaxun Cao, Yu Dong, Chunxi Zhan, Rithvik Neti, Sai Teja Peddinti, Pardis Emami Naeini |
| 2026 | SOUPS | "You Have Been Selected as the Winner": Characterizing User-Reported Scams on TikTok. | Smirity Kaushik, Kyle Beadle, Gauri Nayak, Madelyn Rose Sanfilippo, Mainack Mondal, Yang Wang, Sai Teja Peddinti, Jingjie Li, Yixin Zou |
| 2026 | SOUPS | Nudging Developers Toward Privacy: Evaluating the Impact of Personalized App Review Reports. | Sai Teja Peddinti, Omer Akgul, Michelle L. Mazurek, Nina Taft |
| 2025 | SOUPS | "We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe. | Alexandra Klymenko, Stephen Meisenbacher, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes |
| 2024 | SOUPS | Evaluating Privacy Perceptions, Experience, and Behavior of Software Development Teams. | Maxwell Prybylo, Sara Haghighi, Sai Teja Peddinti, Sepideh Ghanavati |
| 2022 | ICSE | Analyzing User Perspectives on Mobile App Privacy at Scale. | Preksha Nema, Pauline Anthonysamy, Nina Taft, Sai Teja Peddinti |
| 2022 | SP | Hark: A Deep Learning System for Navigating Privacy Feedback at Scale. | Hamza Harkous, Sai Teja Peddinti, Rishabh Khandelwal, Animesh Srivastava, Nina Taft |
| 2021 | RCIS | PriGen: Towards Automated Translation of Android Applications' Code to Privacy Captions. | Vijayanta Jain, Sanonda Datta Gupta, Sepideh Ghanavati, Sai Teja Peddinti |
| 2019 | IMC | Reducing Permission Requests in Mobile Apps. | Sai Teja Peddinti, Igor Bilogrevic, Nina Taft, Martin Pelikan, lfar Erlingsson, Pauline Anthonysamy, Giles Hogben |
| 2017 | SOUPS | Exploring decision making with Android's runtime permission dialogs using in-context surveys. | Bram Bonn, Sai Teja Peddinti, Igor Bilogrevic, Nina Taft |
| 2016 | ICWSM | Finding Sensitive Accounts on Twitter: An Automated Approach Based on Follower Anonymity. | Sai Teja Peddinti, Keith W. Ross, Justin Cappos |
| 2014 | CCS | Stalking Beijing from Timbuktu: A Generic Measurement Approach for Exploiting Location-Based Social Discovery. | Yuan Ding, Sai Teja Peddinti, Keith W. Ross |
| 2014 | SP | Cloak and Swagger: Understanding Data Sensitivity through the Lens of User Anonymity. | Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane |
| 2011 | CCS | On the effectiveness of anonymizing networks for web search privacy. | Sai Teja Peddinti, Nitesh Saxena |