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Pages
Adithya Vadapalli
About me
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Posts
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portfolio
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publications
Massively parallel algorithms and hardness for single-linkage clustering under ℓp-distances
Published in Internation Conference on Machine Learning, 2018
Grigory Yaroslavtsev, Adithya Vadapalli
You May Also Like… Privacy: Recommendation Systems Meet PIR
Published in Proceedings on Privacy Enhancing Technologies Symposium, 2021
Adithya Vadapalli, Fatanneh Bayatbabolghani, Ryan Henry
Sabre: Sender-Anonymous Messaging with Fast Audits
Published in IEEE Symposium on Security and Privacy (SP), 2022
Adithya Vadapalli, Kyle Storrier, Ryan Henry
Duoram: A Bandwidth-Efficient Distributed ORAM for 2- and 3-Party Computation
Published in 32nd USENIX Security Symposium, 2023
Adithya Vadapalli, Ryan Henry, Ian Goldberg
Grotto: Screaming fast (2 + 1)-PC for Z via (2, 2)-DPFs
Published in 30th ACM Conference on Computer and Communications Security (CCS), 2023
Kyle Storrier, Adithya Vadapalli, Allan, Lyons, Ryan Henry
talks
Privacy Preserving Collaborations
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Sabre: A Lightweight Construction for Speedier Ripostes
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CSearch Conference
Recommendation Systems meet PIR
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teaching
Computer Security and Privacy
Undergraduate course, University of Waterloo, Computer Science, 2021
Computer Security and Privacy
Undergraduate course, University of Waterloo, Computer Science, 2022
Cryptographic Techniques for Privacy Preservation
Postgraduate course, IIT Kanpur, Computer Science and Engineering, 2024
About the Course
The last couple of decades have seen a significant proliferation of the Internet in our daily lives. From essential services like banking and health to entertainment like movies and music, have moved online. The Covid-19 pandemic only accelerated these trends. While these trends have made our lives easier and brought great conveniences, it has also resulted in a substantial infringement on the privacy of individuals. Privacy Enhancing Technologies (PETs) are technologies that help protect the privacy of individuals or groups. There are several ways in which PETs can constructed. In this course, we will look at some of the cryptographic approaches to achieving privacy. In particular, some of the topics that will be covered are: (i) Can one stream a movie on, say, Netflix while Netflix has no idea what one watched? (Private Information Retrieval); (ii) Can two millionaires find out who is richer without revealing to each other their wealth (Secure Multi-Party Computation)? (iii) Can you convince your friend that you know a solution to the Graph 3-coloring problem without them learning the 3-coloring or any new information? (Zero Knowledge Proofs); (iv) Can you outsource storage to a remote server and access data from it while all your access patterns are hidden? (Oblivious Random Access Memory).