Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics
Summary: Bolt-on differential privacy for scalable SGD via output perturbation; seamless integration into Bismarck on a relational DBMS. Novel L2-sensitivity analysis of SGD under limited passes; improved convergence, negligible overhead, and up to 4x test accuracy over prior DP-SGD. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xi Wu
- 2. Fengan Li
- 3. Arun Kumar
- 4. Kamalika Chaudhuri
- 5. Somesh Jha
- 6. Jeffrey Naughton
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,474 | CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy | 2021 | VLDB | 7.0606467e-05 |
| 6,535 | Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent | 2019 | SIGMOD | 5.0184189e-05 |
| 7,034 | A Neural Database for Differentially Private Spatial Range Queries | 2022 | VLDB | 4.8504321e-05 |
| 7,626 | A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy | 2023 | SIGMOD | 4.6886327e-05 |
| 10,195 | Privacy Loss of Noise Perturbation via Concentration Analysis of A Product Measure | 2026 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 139 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00042320525 |
| 638 | Towards a Unified Architecture for in-RDBMS Analytics | 2012 | SIGMOD | 0.00018810785 |
| 2,461 | Principled Evaluation of Differentially Private Algorithms using DPBench | 2016 | SIGMOD | 8.7486072e-05 |
| 4,602 | Functional Mechanism: Regression Analysis under Differential Privacy | 2012 | VLDB | 6.0520272e-05 |
| 5,765 | PrivGene: Differentially Private Model Fitting Using Genetic Algorithms | 2013 | SIGMOD | 5.3354212e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,625 | Privacy in Data Systems | 2003 | PODS | 4.1905499e-05 |
| 3,266 | Private Multiplicative Weights Beyond Linear Queries | 2015 | PODS | 7.3045296e-05 |
| 1,740 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00010696383 |
| 10,508 | Privacy and Accuracy-Aware AI/ML Model Deduplication | 2025 | SIGMOD | 4.1905499e-05 |
| 7,799 | Quantifying identifiability to choose and audit epsilon in differentially private deep learning | 2021 | VLDB | 4.6438053e-05 |
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.1905499e-05 |
| 9,707 | DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release | 2024 | VLDB | 4.2951473e-05 |
| 6,969 | Architecting a Differentially Private SQL Engine | 2019 | CIDR | 4.8749348e-05 |
| 6,916 | Private Incremental Regression | 2017 | PODS | 4.8878659e-05 |
| 6,455 | Practical Differentially Private and Byzantine-resilient Federated Learning | 2023 | SIGMOD | 5.0507487e-05 |