Jeremiah Blocki


Assistant Professor 



PhD at Carnegie Mellon University

Research Areas

Human Authentication, Cryptography, Data Privacy 

Key Areas

Passwords, Memory Hard Functions, Password Hashing, Differential Privacy, Security Games 

Notable Experience

Postdoc at Microsoft Research New England Lab
Research Fellow at Simons Institute (UC Berkeley)
Postdoc at Carnegie Mellon University 


Efficiently Computing Data Independent Memory Hard Functions. with Joel Alwen. CRYPTO 2016.
Designing Proof of Human-work Puzzles for Cryptocurrency and Beyond. with Hong-Shen Zhou. TCC 2016-B.
CASH: A Cost Asymmetric Secure Hash Algorithm for Optimal Password Protection. with Anupam Datta. CSF 2016.
Client-CASH: Protecting Master Passwords against Offline Attacks. with Anirudh Sridhar. AsiaCCS 2016.
Differentially Private Password Frequency Lists: Or, How to release statistics from 70 million passwords (on purpose) . with Anupam Datta and Joseph Bonneau. NDSS 2016. 


I am an Assistant Professor in Computer Science at Purdue University. Broadly, my research interests include cryptography, data privacy and security. I like to describe myself as a theoretical computer scientist who is interested in applying fundamental ideas from computer science to address practical problems in usable privacy and security. I am especially interested in developing usable and secure authentication protocols for humans. Are there easy ways for humans to create and remember multiple strong passwords? Can we design secure cryptographic protocols that are so simple that can be run by a human? Prior to joining Purdue I completed my PhD on Usable Human Authentication at Carnegie Mellon University where I was fortunate to be advised by Manuel Blum and Anupam Datta. I also spent a year at Microsoft Research New England as a postdoc. 

Coming Up!

Our annual security symposium will be in October 2021.
Purdue University, West Lafayette, IN

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