Difference between revisions of "Main Page"

From Simson Garfinkel
Jump to navigationJump to search
m
Line 1: Line 1:
Welcome to Simson Garfinkel's personal web site.  
Welcome to Simson Garfinkel's personal web site.  
   
   
Simson L. Garfinkel is the Senior Data Scientist in the Office of the Chief Information Officer at the U.S. Department of Homeland Security. He is also a part-time faculty member at George Washington University in Washington DC, a guest researcher at the U.S. National Institute of Standards and Technology (NIST), and an affiliate of both Georgetown University and George Mason University. He serves on the Association for Computing Machinery's U.S. Technology and Policy Committee, and on its Ethics and Plagiarism Committee. He is also a science journalist who has published hundreds of articles in newspapers and magazines, and 17 books. His research interests broadly include data science ethics, digital forensics, personal information management, counter-intelligence and counter-terrorism.  ([[Bio|Read full bio.]])  
Simson L. Garfinkel serves on the Association for Computing Machinery's U.S. Technology and Policy Committee, and on its Ethics and Plagiarism Committee. He is also a science journalist who has published hundreds of articles in newspapers and magazines, and 17 books. His research interests broadly include data science ethics, digital forensics, personal information management, counter-intelligence and counter-terrorism.  ([[Bio|Read full bio.]])  


==News==
==News==

Revision as of 15:36, 1 August 2022

Welcome to Simson Garfinkel's personal web site.

Simson L. Garfinkel serves on the Association for Computing Machinery's U.S. Technology and Policy Committee, and on its Ethics and Plagiarism Committee. He is also a science journalist who has published hundreds of articles in newspapers and magazines, and 17 books. His research interests broadly include data science ethics, digital forensics, personal information management, counter-intelligence and counter-terrorism. (Read full bio.)

News

Differential Privacy Resources

Recent tutorials and presentations

Note: talks with the same name may (and frequently do) have different slides

See also my Presentations Archive and my AWS Tutorial.

Recent publications

  1. Garfinkel, Simson. Differential Privacy and the 2020 Census, MIT Schwarzman College of Computing Case Studies in Social and Ethical Responsibilities of Computing, Winter 2022.
  2. Bowen, Claire McKay and Simson Garfinkel, The Philosophy of Differential Privacy, AMS Notices, November 2021.
  3. Abowd, J. M., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Kifer, D., Leclerc, P., Sexton, W., Simpson, A., Task, C., & Zhuravlev, P. (2021). An uncertainty principle is a price of privacy-preserving microdata. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. Liang, & J. W. Vaughan (Eds.), Advances in neural information processing systems (pp. 11883– 11895). Curran Associates, Inc. https://proceedings.neurips.cc/paper/2021
  4. Simson L. Garfinkel and Philip Leclerc. 2020. Randomness Concerns when Deploying Differential Privacy. In Proceedings of the 19th Workshop on Privacy in the Electronic Society (WPES'20). Association for Computing Machinery, New York, NY, USA, 73–86. DOI:https://doi.org/10.1145/3411497.3420211 (Acceptance rate 44%)


Current projects

Software and systems
  • bulk_extractor 2.0
  • tcpflow 2.0
Academic Research
  • Article about security research and AI
  • New approach to provenance: the Data Vintaging System (new wine in old bottles?)
  • New Data Science Ethics assignment
  • Article on https://digitalcorpora.org/ for a forensics journal.
  • Article about the new bulk_extractor and why it's so much better.

You may also be interested in my Future Projects

Completed projects


Resources For Students

Where to find Simson Garfinkel online