Workshop on Theory and Practice of Differential Privacy (TPDP) – Call for Submissions

Are you interested in the intersection of privacy, data analysis, and machine learning? If so, mark your calendars for November 11 in London, UK for the TPDP workshop colocated with CCS 2019.

Differential privacy is a hot topic in the field of data analysis. It offers strong guarantees about user privacy while still allowing for useful analysis of data. The TPDP workshop aims to bring together researchers from various disciplines including algorithms, computer security, cryptography, and more to discuss the latest developments in the theory and practice of differential privacy.

Topics of interest at the workshop include the theory of differential privacy, privacy-preserving machine learning, applications of differential privacy, and more. Researchers are encouraged to submit abstracts of their work for presentation at the workshop. Selected papers may even have the opportunity to be published in a special issue of the Journal of Privacy and Confidentiality.

The deadline for submissions is June 21, with notifications sent out by August 9. If you’re interested in joining the discussion on differential privacy, mark your calendar for November 11 for the TPDP workshop. For more information and to submit your work, visit the workshop website at https://tpdp.cse.buffalo.edu/2019/.

Don’t miss this opportunity to engage with top researchers in the field and contribute to the ongoing conversation around differential privacy and data analysis.