
Hi, I am Mayank Varia.
I research theoretical and applied cryptography, and its applications throughout and beyond computing & data sciences.
I research theoretical and applied cryptography, and its applications throughout and beyond computing & data sciences.
I am an Associate Professor in the Faculty of Computing & Data Sciences at Boston University. I have taught courses in Foundations of Data Science (spring 21), Applied Crypto (spring 20, 19, 18, 17, 16), and MPC at Scale (fall 17 and 16).
I am a member of the U.S. Advisory Committee on Data for Evidence Building; you can read our year 1 report here. Additionally, I chair the legal subtask group of the United Nations Privacy Preserving Techniques Task Team.
I am the director of the CDS Hub for Civic Tech Impact, co-director of BU's Center for Reliable Information Systems & Cyber Security, a founding member of the Cyber Security, Law, and Society Alliance, and a faculty mentor of the Codebreakers summer program.
I am grateful for the research support provided by the National Science Foundation (Grants 1414119, 1718135, 1739000, 1801564, 1915763, 1931714, 1955579, 2209194, 2217770, and 2228610), DARPA (Agreement HR00112020021 and Contract N66001-15-C-407), and the members of BU's Data Privacy Collaborative.
You can find a list of all of my publications at DBLP and Google Scholar.
I deploy privacy-respecting systems in practice using cryptography, with a focus on empowerment and accessibility. Selected publications: SOUPS 19, and Compass 18. See also talks at DP-MPC 18 and Enigma 18.
I design and develop systems that allow people to collaborate on data analyses while protecting the underlying data. Selected publications: NSDI 23, Usenix Security 22b, PODC 22, FC 21, EuroSys 19, and Oakland 17.
My PhD thesis provides concrete methods to “obfuscate” or garble computer programs in a provably secure manner while preserving their functionality. Selected publications: TCC 10a, TCC 10b, and TCC 09.
I develop information theoric bounds on data reconstruction attacks, and characterize the tradeoffs between privacy and utility. Selected publications: Trans Inf. Theory 19, Trans Inf. Theory 17, and Allerton 13.
If you would like to work with me, please send me an email if you are a current BU student, or apply to the university otherwise.
I work with three PhD students: Nicolas Alhaddad, Julie Ha, and Ryan Little. Two former PhD students have graduated: Sarah Scheffler in 2021 (now a postdoc at Princeton) and Rawane Issa in 2022 (now a researcher at Galois).
I have supervised many students through the NSF Research Experiences for Undergraduates, BU UROP, and BU Kilachand Keystone project programs. These research projects have led to conference publications at ACNS 21, SecDev 19, and CSF 17b plus several GitHub repositories.