Overview
Despite the substantial benefits from using synthetic data, the process of synthetic data generation is still an ongoing technical challenge. Although the two scenarios of limited data and privacy concerns share similar technical challenges such as quality and fairness, they are often studied separately. This workshop aims at the intersection of these challenges of synthetic data generation, and hopes to shine a light on the solutions that address these challenges. The 1st Synthetic Data Generation workshop will be a virtual workshop at ICLR 2021, May 7, 2021. Our goal is to advance the general discussion of the topic by highlighting contributions proposing innovative approaches integrating quality, privacy and bias aspects of synthetic data generation.
Announcements
- Link to the live sessions at ICLR website. Note that registration to the ICLR main conference is required in order to access the website.
- Congratulations to winners of best paper award, “Leveraging Public Data for Practical Private Query Release”, by Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan Ullman, and Steven Wu! The best paper award is generously sponsored by Synthetic Data’s Community.
| Submission | March 5, 2021 (Anywhere on Earth) |
| Notification | March 31, 2021 |
| Camera Ready | April 16, 2021 |
| Submission link | link |
| Workshop | May 7, 2021 |
Speakers & Panelists
Organizers
Program Committee
- Tianhao Wang, Purdue University
- Zhikun Zhang, CISPA Helmholtz Center for Information Security
- Giuseppe Vietri, University of Minnesota
- Jonathan Tremblay, NVIDIA
- Swami Sankaranarayanan, MIT
- Luca Melis, Amazon Web Services
- Haleh Akrami, Signal and Image Processing Institute at University of Southern California
- Syed Ashrafulla, Google
- Cheng Zhang, Microsoft
- Lei Xu, MIT
- Mijung Park, Max Planck Institute for Intelligent Systems
- M Sadegh Riazi, UC San Diego
- Prasanna Sattigeri, IBM Research AI
- Digvijay Boob, SMU
- Dingfan Chen, CISPA Helmholtz Center for Information Security
- Yang Zhang, CISPA Helmholtz Center for Information Security
- Seong Joon Oh, NAVER AI Lab
- Christopher Waites, Stanford
- Sunghyun Park, KAIST
- Kangyeol Kim, KAIST
- Shehzeen Hussain, UC San Diego
- Depeng Xu, University of Arkansas
- Nikita Jaipuria, Ford Motor Company
- Sahar Abdelnabi, CISPA Helmholtz Center for Information Security
- Theresa Stadler, EPFL
- Benjamin Hilprecht, TU Darmstadt
- Maria Skoularidou, University of Cambridge
- Yunhui Long, University of Illinois at Urbana-Champaign
- Ruoxi Jia, Virginia Tech
Contact: email