Joseph A. Calandrino

My research, which I conduct in my personal capacity, falls at the intersection of computer science with public policy. I apply computer security, privacy, and related research methods to explore sociotechnical systems with the goal of informing policy discussions and advancing policy objectives.

I am presently the deputy chief science and technology advisor and deputy chief AI officer at the U.S. Department of Justice. I previously served as research director in the Federal Trade Commission's Bureau of Consumer Protection.

Education

I received my doctorate in Computer Science from Princeton University, where I was affiliated with the Center for Information Technology Policy. I hold masters degrees in Computer Science from Princeton and the University of Virginia, and I received a BS in Computer Science and Mathematics from the University of Virginia.

Service

In addition to serving on the program committee for a number of conferences, I served as PC co-chair for USENIX Security 2023, Enigma 2022, and SOUPS 2020-2021. I co-founded the Workshop on Technology and Consumer Protection (ConPro) and received the best reviewer award from the IEEE Symposium on Security and Privacy 2020.

Selected Publications

• Reviews in Motion: A Large Scale, Longitudinal Study of Review Recommendations on Yelp
  R. Amos, R. Maio, P. Mittal, J. A. Calandrino
  6th Workshop on Technology and Consumer Protection (ConPro '22)
• Bad Job: Abusive Work on Alternative Microtask Platforms
  C. Yeung, D. Salsburg, J. A. Calandrino
  5th Workshop on Technology and Consumer Protection (ConPro '21)
• Checkout Checkup: Misuse of Payment Data from Web Skimming
  P. Rouge, C. Yeung, D. Salsburg, J. A. Calandrino
  2020 Symposium on Electronic Crime Research (eCrime 2020)
• Secondary Education: Measuring Secondary Uses of 2FA Phone Numbers
  M. H. Kim, C. Yeung, D. Salsburg, J. A. Calandrino
  Who Are You?! Adventures in Authentication Workshop 2020 (WAY 2020)
• Control of Sensitive Data in Systems with Novel Functionality
  J. A. Calandrino
  PhD Dissertation, Department of Computer Science, Princeton University
• Bubble Trouble: Off-Line De-Anonymization of Bubble Forms
  J. A. Calandrino, W. Clarkson, E. W. Felten
  20th USENIX Security Symposium (USENIX Security '11)
• "You Might Also Like:" Privacy Risks of Collaborative Filtering
  J. A. Calandrino, A. Kilzer, A. Narayanan, E. W. Felten, V. Shmatikov
  IEEE Symposium on Security and Privacy 2011 (Oakland '11)
• Some Consequences of Paper Fingerprinting for Elections
  J. A. Calandrino, W. Clarkson, E. W. Felten
  2009 Electronic Voting Technology Workshop / Workshop on Trustworthy Elections (EVT/WOTE '09)
• Lest We Remember: Cold Boot Attacks on Encryption Keys (Web Site)
  J. A. Halderman, S. D. Schoen, N. Heninger, W. Clarkson, W. Paul, J. A. Calandrino, A. J. Feldman, J. Appelbaum, E. W. Felten
  17th USENIX Security Symposium (USENIX Security '08) - Best Student Paper
  Reprinted in Communications of the ACM, May 2009
• In Defense of Pseudorandom Sample Selection
  J. A. Calandrino, J. A. Halderman, E. W. Felten
  2008 USENIX/ACCURATE Electronic Voting Technology Workshop (EVT '08)
• Machine-Assisted Election Auditing (Full PDF)
  J. A. Calandrino, J. A. Halderman, E. W. Felten
  2007 USENIX/ACCURATE Electronic Voting Technology Workshop (EVT '07)
• Source Code Review of the Diebold Voting System
  J. A. Calandrino, A. J. Feldman, J. A. Halderman, D. Wagner, H. Yu, W. P. Zeller
  Part of the CA Secretary of State's 2007 Top-To-Bottom Review of CA voting systems
• Private Resource Pairing
  J. A. Calandrino, A. C. Weaver
  Sixth Workshop on Privacy Enhancing Technologies (PET 2006)