SpaLab @ UCR/UCL
@spalab.cs.ucr.edu
The Security and Privacy Advanced research Laboratory (SPA Lab) is a distributed research group with members at the University of California, Riverside, and University College London, led by @emilianodc.com
https://spalab.cs.ucr.edu
https://spalab.cs.ucr.edu
Congrats to Sundar -- his paper "To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling" was just accepted to #NDSS2026!
Only 21 out of 950 straight accepts this round 😳
Joint work with Borja Balle, Jamie Hayes, & @emilianodc.com
Pre-print: arxiv.org/abs/2411.10614
Only 21 out of 950 straight accepts this round 😳
Joint work with Borja Balle, Jamie Hayes, & @emilianodc.com
Pre-print: arxiv.org/abs/2411.10614
To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling
The Differentially Private Stochastic Gradient Descent (DP-SGD) algorithm allows the training of machine learning (ML) models with formal Differential Privacy (DP) guarantees. Since DP-SGD processes t...
arxiv.org
October 23, 2025 at 3:49 AM
Congrats to Sundar -- his paper "To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling" was just accepted to #NDSS2026!
Only 21 out of 950 straight accepts this round 😳
Joint work with Borja Balle, Jamie Hayes, & @emilianodc.com
Pre-print: arxiv.org/abs/2411.10614
Only 21 out of 950 straight accepts this round 😳
Joint work with Borja Balle, Jamie Hayes, & @emilianodc.com
Pre-print: arxiv.org/abs/2411.10614
Reposted by SpaLab @ UCR/UCL
📣 Upcoming CCS'25 paper 📣
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
We investigate the critical yet overlooked role of discretization in end-to-end differentially private (DP) tabular synthetic data generation
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
We investigate the critical yet overlooked role of discretization in end-to-end differentially private (DP) tabular synthetic data generation
July 31, 2025 at 10:17 PM
📣 Upcoming CCS'25 paper 📣
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
We investigate the critical yet overlooked role of discretization in end-to-end differentially private (DP) tabular synthetic data generation
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
We investigate the critical yet overlooked role of discretization in end-to-end differentially private (DP) tabular synthetic data generation
Conditional congrats to Georgi and Sundar - their paper on Discretization in DP Synthetic Data was accepted with shepherding to CCS’25.
Very important work on an overlooked aspect of end-to-end DP pipelines.
Preprint: arxiv.org/abs/2504.06923 -- feedback welcome!
Very important work on an overlooked aspect of end-to-end DP pipelines.
Preprint: arxiv.org/abs/2504.06923 -- feedback welcome!
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
Differentially Private (DP) generative marginal models are often used in the wild to release synthetic tabular datasets in lieu of sensitive data while providing formal privacy guarantees. These model...
arxiv.org
July 4, 2025 at 8:19 PM
Conditional congrats to Georgi and Sundar - their paper on Discretization in DP Synthetic Data was accepted with shepherding to CCS’25.
Very important work on an overlooked aspect of end-to-end DP pipelines.
Preprint: arxiv.org/abs/2504.06923 -- feedback welcome!
Very important work on an overlooked aspect of end-to-end DP pipelines.
Preprint: arxiv.org/abs/2504.06923 -- feedback welcome!
Reposted by SpaLab @ UCR/UCL
Huge congrats to @spalab.cs.ucr.edu's Georgi Ganev for receiving the Distinguished Paper Award at IEEE S&P for his work "The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against “Truly Anonymous” Synthetic Datasets."
Paper: arxiv.org/pdf/2312.051...
Paper: arxiv.org/pdf/2312.051...
May 14, 2025 at 5:51 PM
Huge congrats to @spalab.cs.ucr.edu's Georgi Ganev for receiving the Distinguished Paper Award at IEEE S&P for his work "The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against “Truly Anonymous” Synthetic Datasets."
Paper: arxiv.org/pdf/2312.051...
Paper: arxiv.org/pdf/2312.051...
Happy to announce that Georgi's paper, “The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against “Truly Anonymous” Synthetic Datasets,” has been accepted to IEEE Security & Privacy.
Pre-print: arxiv.org/pdf/2312.05114
Pre-print: arxiv.org/pdf/2312.05114
March 11, 2025 at 4:01 PM
Happy to announce that Georgi's paper, “The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against “Truly Anonymous” Synthetic Datasets,” has been accepted to IEEE Security & Privacy.
Pre-print: arxiv.org/pdf/2312.05114
Pre-print: arxiv.org/pdf/2312.05114
Reposted by SpaLab @ UCR/UCL
I’m proverbially humbled and manifestly honored by the ACM’s recognition as Distinguished Member.
This is obviously an achievement that would have never been possible without my amazing students and collaborators or the support and mentorship of so many people.
www.acm.org/media-center...
This is obviously an achievement that would have never been possible without my amazing students and collaborators or the support and mentorship of so many people.
www.acm.org/media-center...
ACM has named 56 Distinguished Members for work that has advanced computing, fostered innovation across various fields and improved computer science education.
The 2024 ACM Distinguished Members work at leading universities, corporations, and research institutions in Australia, Bangladesh, Canada, China, Cyprus, Denmark, Germany, Ireland, India, Switzerland,...
www.acm.org
February 12, 2025 at 6:00 PM
I’m proverbially humbled and manifestly honored by the ACM’s recognition as Distinguished Member.
This is obviously an achievement that would have never been possible without my amazing students and collaborators or the support and mentorship of so many people.
www.acm.org/media-center...
This is obviously an achievement that would have never been possible without my amazing students and collaborators or the support and mentorship of so many people.
www.acm.org/media-center...