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==Recent tutorials and presentations== | ==Recent tutorials and presentations== | ||
''Note: talks with the same name may (and frequently do) have different slides'' | ''Note: talks with the same name may (and frequently do) have different slides'' | ||
* 2020-06-15 [https://www.youtube.com/watch?time_continue=49&v=bxU6yHNUVns Using Apache Spark and Differential Privacy for Protecting the Privacy of the 2020 Census Respondents], at the Spark+AI virtual conference. | |||
* 2019-11-19 [https://simson.net/ref/2019/2019-11-19%20The%20Computer%20Book%20talk%20at%20NSF.pdf The Computer Book Talk at NSF] | * 2019-11-19 [https://simson.net/ref/2019/2019-11-19%20The%20Computer%20Book%20talk%20at%20NSF.pdf The Computer Book Talk at NSF] | ||
* 2019-07-16 [https://petsymposium.org/2019/program.php PETS Keynote Address - Deploying Differential Privacy for the 2020 Census of Population and Housing] [http://simson.net/ref/2019/2019-07-16%20Deploying%20Differential%20Privacy%20for%20the%202020%20Census.pptx (slides)] [http://simson.net/ref/2019/2019-07-16%20Deploying%20Differential%20Privacy%20for%20the%202020%20Census.pdf (pdf)] | * 2019-07-16 [https://petsymposium.org/2019/program.php PETS Keynote Address - Deploying Differential Privacy for the 2020 Census of Population and Housing] [http://simson.net/ref/2019/2019-07-16%20Deploying%20Differential%20Privacy%20for%20the%202020%20Census.pptx (slides)] [http://simson.net/ref/2019/2019-07-16%20Deploying%20Differential%20Privacy%20for%20the%202020%20Census.pdf (pdf)] | ||
Revision as of 12:13, 18 July 2020
Welcome to Simson Garfinkel's personal web site.
Simson L. Garfinkel is the US Census Bureau's Senior Computer Scientist for Confidentiality and a part-time faculty member at George Washington University in Washington DC. His current research interests include privacy in data science ethics, cybersecurity, privacy and usability. He has also worked in digital forensics, personal information management, medical imaging, and counter-terrorism. (Read full bio.)
News
- 2020-05-01 Information on the Summer 2020 Unpaid Internship Program has been posted.
- 2020-02-07 AIES 2020 Spotlight Session 1
- 2020-01-23 Simson's Notepaper App has been upgraded! Print your own note paper! And new features are on the way, including integration with Apple Calendar.
- 2019-11-19 The Computer Book Talk at NSF
Differential Privacy Resources
- Demonstration of the US Census Bureau's Top-Down Differential Privacy algorithm
- More differential privacy resources.
Recent tutorials and presentations
Note: talks with the same name may (and frequently do) have different slides
- 2020-06-15 Using Apache Spark and Differential Privacy for Protecting the Privacy of the 2020 Census Respondents, at the Spark+AI virtual conference.
- 2019-11-19 The Computer Book Talk at NSF
- 2019-07-16 PETS Keynote Address - Deploying Differential Privacy for the 2020 Census of Population and Housing (slides) (pdf)
- 2019-06-18 Mac Forensics in 90 Minutes
- 2019-05-02 Differential Privacy Concepts
- 2019-01-28 Rice Symposium on Data Privacy, discussing the 2020 Disclosure Avoidance System.
- 2018-10-29 Cybersecurity research is not making us more secure, University of Pennsylvania CIS Seminar and Events, Fall 2018 Colloqium Series, Philadelphia, PA.
- 2018-10-19 2020 Census Disclosure Avoidance, 2020 Census Program Management Review – October 19, 2018, US Census Bureau, Suitland, MD
- 2018-10-16 Issues Encountered Deploying Differential Privacy, WPES 2018, Toronto, CA
- 2018-03-08 Challenges and Experiences Adapting Differentially Private Mechanisms to the 2020 Census
- 2018-02-20 Protecting Data Sources, presented at the 4th Kavli Conference on Science Journalism, Austin, TX.
- 2018-02-14 Modernizing the Disclosure Avoidance System for the 2020 Census, presented at Georgetown University
See also my Presentations Archive and my AWS Tutorial.
Recent publications
- 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.
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