Sai Teja Peddinti
Sai Teja Peddinti
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Geciteerd door
On the privacy of web search based on query obfuscation: A case study of trackmenot
ST Peddinti, N Saxena
Privacy Enhancing Technologies, 19-37, 2010
"On the Internet, nobody knows you’re a dog": A Twitter Case Study of Anonymity in Social Networks
ST Peddinti, KW Ross, J Cappos
ACM Conference on Online Social Networks, 2014
Exploring decision making with {Android’s} runtime permission dialogs using in-context surveys
B Bonné, ST Peddinti, I Bilogrevic, N Taft
Thirteenth Symposium on Usable Privacy and Security (SOUPS 2017), 195-210, 2017
Cloak and Swagger: Understanding Data Sensitivity Through the Lens of User Anonymity
ST Peddinti, A Korolova, E Bursztein, G Sampemane
2014 IEEE Symposium on Security and Privacy, 493-508, 2014
On the limitations of query obfuscation techniques for location privacy
ST Peddinti, N Saxena
International conference on Ubiquitous computing, 2011
User anonymity on twitter
ST Peddinti, KW Ross, J Cappos
IEEE Security & Privacy 15 (3), 84-87, 2017
Cover locations: availing location-based services without revealing the location
ST Peddinti, A Dsouza, N Saxena
Proceedings of the 10th annual ACM workshop on Privacy in the electronic …, 2011
Web search query privacy: Evaluating query obfuscation and anonymizing networks
ST Peddinti, N Saxena
Journal of Computer Security 22 (1), 155-199, 2014
Reducing permission requests in mobile apps
ST Peddinti, I Bilogrevic, N Taft, M Pelikan, Ú Erlingsson, P Anthonysamy, ...
Proceedings of the internet measurement conference, 259-266, 2019
Stalking Beijing from Timbuktu: a generic measurement approach for exploiting location-based social discovery
Y Ding, ST Peddinti, KW Ross
Proceedings of the 4th ACM Workshop on Security and Privacy in Smartphones …, 2014
On the effectiveness of anonymizing networks for web search privacy
ST Peddinti, N Saxena
Proceedings of the 6th ACM Symposium on Information, Computer and …, 2011
A large scale study of user behavior, expectations and engagement with android permissions
W Cao, C Xia, ST Peddinti, D Lie, N Taft, LM Austin
30th USENIX Security Symposium (USENIX Security 21), 803-820, 2021
Analyzing user perspectives on mobile app privacy at scale
P Nema, P Anthonysamy, N Taft, ST Peddinti
Proceedings of the 44th International Conference on Software Engineering …, 2022
Hark: A deep learning system for navigating privacy feedback at scale
H Harkous, ST Peddinti, R Khandelwal, A Srivastava, N Taft
2022 IEEE Symposium on Security and Privacy (SP), 2469-2486, 2022
Providing a fast, remote security service using hashlists of approved web objects
J Cappos, N Memon, ST Peddinti, K Ross
US Patent 9,246,929, 2016
Mining anonymity: Identifying sensitive accounts on Twitter
ST Peddinti, KW Ross, J Cappos
arXiv preprint arXiv:1702.00164, 2017
Prigen: Towards automated translation of android applications’ code to privacy captions
V Jain, SD Gupta, S Ghanavati, ST Peddinti
International Conference on Research Challenges in Information Science, 142-151, 2021
Finding sensitive accounts on Twitter: an automated approach based on follower anonymity
S Peddinti, K Ross, J Cappos
Proceedings of the International AAAI Conference on Web and Social Media 10 …, 2016
From pilot to practice: creating multipleinput multimedia content for real-world deployment
J Pal, U Pawar, A Joshi, M Jain, SG Thota, P Sai Teja, S Anikar
Pact: Detecting and classifying privacy behavior of android applications
V Jain, SD Gupta, S Ghanavati, ST Peddinti, C McMillan
Proceedings of the 15th ACM Conference on Security and Privacy in Wireless …, 2022
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