Invitation to the NIST CRC Explanatory Workshop
Howarth, Gary S. (Fed)
We cordially invite the OpenDP Community to join our upcoming workshop. Please reach out with questions.
National Institute of Standards and Technology
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NIST Collaborative Research Cycle Explanatory Workshop
18 December 2023
10:00 AM – 2:30PM EST / 3:00 PM -- 7:30 PM GMT
Register to attend the virtual meeting (free).
Program details
Please see our program workshop for details on the CRC, its goals, and its resources.
Workshop papers
The deadline to submit papers is 17 NOV 2023. Authors of accepted papers may have the opportunity to give a lightning talk on their submission.
Agenda
All times EST.
10:30 --14:30 Main Meeting
Details:
10:00: "coffee hour" (show up early to chat if you want)
10:30: Welcome remarks
10:40: Joe Near on differential privacy
11:10: Differential privacy lightning talks or breakout
12:00: Matteo Giomi on re-Identification risk analysis
12:30: Re-identification lightning talks or breakout
13:00: Matt Williams on sampling design and analysis
13:30: Sampling lightning talks or breakout
14:00: Aggregate TLDR and open problems discussion
14:30: Conclude
Our speakers
Joe Near, PhD, Assistant Professor at the Programming Languages, Information Security and Data Privacy (PLAID) research lab at the University of Vermont. Dr. Near has research interests
in formal privacy, security, and fairness, and he has published two books covering practical implementations of differential privacy.
Matteo Giomi, PhD, began in astroparticle physics and cosmology before shifting to privacy research at Statice, an EU synthetic data vendor. He specializes in privacy-preserving ML, anonymization, threat modeling, and attack-based privacy assessment. Now leading
the privacy research team at Anonos, he focuses on advanced pseudonymization techniques and European GDPR compliance.
Matt Williams, PhD, Senior Research Statistician at RTI. Dr. Williams has served in several federal statistical agencies and has expertise in developing and applying Bayesian analysis to complex survey data.