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Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges

Summary: Tutorial bridging theory and practice of differential privacy for tabular and complex data in databases. Covers foundations, state-of-the-art DP algorithms for analytics, and deployments, highlighting adoption barriers and hands-on modules. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5399
Venue
SIGMOD
Year
2017
Pagerank
6.1501263e-05
Overall Rank
5,613 | 61.50%
DOI
10.1145/3035918.3054779

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{machanavajjhala_sigmod17,
        title = {{Differential Privacy in the Wild: A Tutorial on Current Practices \& Open Challenges}},
        author = {Machanavajjhala, Ashwin and He, Xi and Hay, Michael},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3054779},
        url = {https://dl.acm.org/doi/10.1145/3035918.3054779},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
1,488 Towards Model-based Pricing for Machine Learning in a Data Marketplace 2019 SIGMOD 0.00010612416
8,198 Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity 2021 VLDB 5.4688368e-05
8,515 Measuring Re-identification Risk 2023 SIGMOD 5.4119882e-05
11,682 Practical Security and Privacy for Database Systems 2021 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
121 Boosting the Accuracy of Differentially Private Histograms Through Consistency 2010 VLDB 0.00031639377
123 Revealing Information while Preserving Privacy 2003 PODS 0.00031082693
510 Practical Privacy: The SuLQ Framework 2005 PODS 0.00017220509
567 Understanding Hierarchical Methods for Differentially Private Histograms 2013 VLDB 0.00016420715
611 Optimizing Linear Counting Queries Under Differential Privacy 2010 PODS 0.00015747402
1,169 PrivBayes: Private Data Release via Bayesian Networks 2014 SIGMOD 0.00011838753
1,230 No Free Lunch in Data Privacy 2011 SIGMOD 0.00011572271
1,421 PrivBasis: Frequent Itemset Mining with Differential Privacy 2012 VLDB 0.00010828328
1,504 A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy 2014 VLDB 0.00010548904
2,366 On Differentially Private Frequent Itemset Mining 2013 VLDB 8.6866148e-05
2,562 Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies 2014 SIGMOD 8.4127196e-05
3,871 DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems 2015 VLDB 7.0581665e-05
4,562 Private Multiplicative Weights Beyond Linear Queries 2015 PODS 6.6298422e-05
6,304 Privacy-Aware Data Management in Information Networks 2011 SIGMOD 5.9210809e-05
6,370 Differential Privacy in the Wild: A tutorial on current practices & open challenges 2016 VLDB 5.8973335e-05
6,441 Differential Privacy in Data Publication and Analysis 2012 SIGMOD 5.8779245e-05
12,079 Design of Policy-Aware Differentially Private Algorithms 2016 VLDB 5.093636e-05
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