On August 2, 2023, Emiliano De Cristofaro (University of California, Riverside) talked about Privacy in ML - Synthetic Data during the 2nd IACR Summer School on Privacy-Preserving Machine Learning. The school was organized by Stefan Dziembowski and IDEAS NCBR. It was partly supported by the International Association for Cryptologic Research (IACR).
Emiliano De Cristofaro is (Full) Professor in the Department of Computer Science and Engineering at the University of California, Riverside. Until June 2023, he was at University College London (UCL), where he was affiliated with the Computer Science Department and served as the Director of UCL’s Academic Center of Excellence in Cyber Security Research (ACE-CSR). Before joining UCL in 2013, he was a Research Scientist at Xerox PARC.
Emiliano does academic research in the broad information security area. Over the past few years, he has been working on trustworthy machine learning and on understanding and countering socio-technical issues on the Web. His research has been published at all four top-tier conferences in security (IEEE S&P, NDSS, ACM CCS, Usenix Security) as well top-tier conferences in other fields, such as ICML, WWW, ACM IMC, ACM SIGMETRICS, ICWSM, CSCW. Emiliano and his co-authors have received best/distinguished paper awards from NDSS, ACM CCS, CSCW, ICWSM, and ACM IMC, the Data Protection by Design Award from the Catalan Data Protection authority, and were runners-up for the CSAW Applied Research Competition and the INRIA-CNIL Privacy Protection Award. In 2022, he completed the “security grand slam,” i.e., had at least one paper in all four top-tier security conferences in the same calendar year.
Read more emilianodc.com/
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