Welcome to Simson Garfinkel's web site.
Simson L. Garfinkel is the Chief of the Center for Disclosure Avoidance Research at the US Census Bureau. His current research interests include privacy in big data, cybersecurity and usability. He has previously worked in digital forensics, digital information management, medical imaging, and counter-terrorism. (Read full bio.)
Recent tutorials and presentations
Note: talks with the same name may (and frequently do) have different slides
- 2017-09-15 Modernizing the Disclosure Avoidance System for the 2020 Census, presented to the Census Scientific Advisory Committee
- 2017-09-14 Algorithmic Transparency and Accountability, a USACM panel at the National Press Club. Also available on Facebook Live, with the video starting at 10:45.
- 2016-12-14 The Cybersecurity Mess
- 2015-08-12 Hash Based Carving: Searching media for complete files and fragments with sector hashing and hashdb, DFRWS 2015, Philadelphia, PA.
- 2014-02-22 Digital Forensics Innovation: Searching A Terabyte of Data in 10 minutes Rensselaer Polytechnic Institute, Troy, NY
- 2014-02-18 Can we Sniff (Wi-Fi)? Implications of Joffe v. Google for security researchers and educators, New York University, NY.
See also my Presentations Archive
- Pridgen, Adam, Simson Garfinkel and Dan Dan Wallach, Present but Unreachable, reducing persistent latent secrets in HotSpot JVM, Hawaii International Conference on System Sciences (HICSS-50), Jan 4-7, 2017, Hilton Waikoloa Village, Hawaii. slides BEST PAPER AWARD
- Theofanos, Mary, Simson Garfinkel, and Yee-Yin Choong, Secure and Usable Enterprise Authentication: Lessons from the Field, IEEE Security and Privacy, September/October 2016.
- Garfinkel, Simson, Michael McCarrin, Hash-Based Carving: Searching media for complete files and fragments with sector hashing and hashdb, DFRWS 2015, Philadelphia, PA.