Paper-Conference | Sai Teja Peddinti

Understanding Help Seeking for Digital Privacy, Safety, and Security

Mon, 19 Jul 2027 00:00:00 +0000

Verity: A Framework to Generate Privacy Captions from Android Source Code using LLMs

Mon, 14 Sep 2026 00:00:00 +0000

This paper won the Distinguished Paper Award at the conference.

Preprint and an earlier version is available on arXiv.

Nudging Developers Toward Privacy: Evaluating the Impact of Personalized App Review Reports

Sun, 23 Aug 2026 03:00:00 +0000

"You have been selected as the winner": Characterizing User-Reported Scams on TikTok

Sun, 23 Aug 2026 02:00:00 +0000

Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI

Sun, 23 Aug 2026 01:00:00 +0000

LLM-Powered Analysis of IoT User Reviews: Tracking and Ranking Security and Privacy Concerns

Wed, 27 May 2026 00:00:00 +0000

Preprint and an earlier version is available on arXiv.

Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference

Mon, 13 Apr 2026 00:00:00 +0000

Preprint and an earlier version is available on arXiv.

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale

Mon, 01 Dec 2025 00:00:00 +0000

Preprint and an earlier version is available on arXiv.

"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe

Sun, 10 Aug 2025 00:00:00 +0000

An earlier and shorter version of this paper appeared in the SOUPS Workshop on SUPA: Societal & User-Centered Privacy in AI, 2024.

A decade of privacy-relevant Android app reviews: large scale trends

Wed, 14 Aug 2024 00:00:00 +0000

An extended version of this work is available on arXiv.

Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives

Sun, 11 Aug 2024 00:00:00 +0000

Evaluating privacy perceptions, experience, and behavior of software development teams

Sat, 10 Aug 2024 00:00:00 +0000

Unveiling Privacy Perspectives about Mobile Health Apps on a Large Scale

Mon, 15 Jul 2024 00:00:00 +0000

Towards Fine-Grained Localization of Privacy Behaviors

Mon, 03 Jul 2023 00:00:00 +0000

A preprint version of this paper is available on arXiv.

Hark: A Deep Learning System for Navigating Privacy Feedback at Scale

Mon, 23 May 2022 00:00:00 +0000

PAcT: Detecting and Classifying Privacy Behavior of Android Applications

Mon, 16 May 2022 00:00:00 +0000

Analyzing user perspectives on mobile app privacy at scale

Sun, 08 May 2022 00:00:00 +0000

A Large Scale Study of User Behavior, Expectations and Engagement with Android Permissions

Sun, 01 Aug 2021 00:00:00 +0000

PriGen: Towards Automated Translation of Android Applications' Code to Privacy Captions

Tue, 11 May 2021 00:00:00 +0000

A preprint of this paper is available on arXiv

Reducing Permission Requests in Mobile Apps

Mon, 21 Oct 2019 00:00:00 +0000

This work was featured in the Google’s Security Blog, and also covered by press:

Exploring decision making with android's runtime permission dialogs using in-context surveys

Wed, 12 Jul 2017 00:00:00 +0000

This paper won the IAPP SOUPS Privacy Award at the conference.

Finding Sensitive Accounts on Twitter: An Automated Approach Based on Follower Anonymity

Tue, 17 May 2016 00:00:00 +0000

Perceived Frequency of Advertising Practices

Wed, 22 Jul 2015 00:00:00 +0000

Stalking Beijing from Timbuktu: A Generic Measurement Approach for Exploiting Location-Based Social Discovery

Fri, 07 Nov 2014 00:00:00 +0000

\"On the internet, nobody knows you're a dog\": a twitter case study of anonymity in social networks

Wed, 01 Oct 2014 00:00:00 +0000

Cloak and Swagger: Understanding Data Sensitivity through the Lens of User Anonymity

Sun, 18 May 2014 00:00:00 +0000

Cover locations: availing location-based services without revealing the location

Mon, 17 Oct 2011 00:00:00 +0000

On the limitations of query obfuscation techniques for location privacy

Sat, 17 Sep 2011 00:00:00 +0000

On the effectiveness of anonymizing networks for web search privacy

Tue, 22 Mar 2011 00:00:00 +0000

On the privacy of web search based on query obfuscation: a case study of TrackMeNot

Wed, 21 Jul 2010 00:00:00 +0000

From pilot to practice: creating multiple input multimedia content for real-world deployment

Sun, 13 Jan 2008 00:00:00 +0000