DifferentialPrivacy.org BibTeX entries
@misc{DPorg-neurips23-op,
title={NeurIPS 2023 Outstanding Paper: Privacy auditing in just one run},
author={Gautam Kamath},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/neurips23-op/}},
year={2024},
month={01},
}
@misc{DPorg-open-problems-how-generic-can-composition-be,
title={Open problem(s) - How generic can composition results be?},
author={Damien Desfontaines},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/open-problems-how-generic-can-composition-be/}},
year={2023},
month={09},
}
@misc{DPorg-down-sensitivity,
title={Beyond Local Sensitivity via Down Sensitivity},
author={Thomas Steinke},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/down-sensitivity/}},
year={2023},
month={09},
}
@misc{DPorg-inverse-sensitivity,
title={Beyond Global Sensitivity via Inverse Sensitivity},
author={Thomas Steinke},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/inverse-sensitivity/}},
year={2023},
month={09},
}
@misc{DPorg-colt23-bsp,
title={Covariance-Aware Private Mean Estimation, Efficiently},
author={Gautam Kamath},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/colt23-bsp/}},
year={2023},
month={07},
}
@misc{DPorg-tpdp2023,
title={Call for Papers - TPDP 2023 - Submission deadline July 7},
author={Thomas Steinke},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/tpdp2023/}},
year={2023},
month={06},
}
@misc{DPorg-open-problem-better-privacy-guarantees-for-larger-groups,
title={Open problem - Better privacy guarantees for larger groups},
author={David Pujol and Damien Desfontaines},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/open-problem-better-privacy-guarantees-for-larger-groups/}},
year={2023},
month={06},
}
@misc{DPorg-composition-basics,
title={Composition Basics},
author={Thomas Steinke},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/composition-basics/}},
year={2022},
month={11},
}
@misc{DPorg-privacy-doona,
title={Privacy Doona: Why We Should Hide Among The Clones},
author={Clément Canonne},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/privacy-doona/}},
year={2022},
month={05},
}
@misc{DPorg-dp-fine-tuning,
title={Differentially private deep learning can be effective with self-supervised models},
author={Xuechen Li and Florian Tramèr and Janardhan Kulkarni and Tatsunori Hashimoto},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/dp-fine-tuning/}},
year={2022},
month={03},
}
@misc{DPorg-synth-data-1,
title={A simple recipe for private synthetic data generation},
author={Ryan McKenna and Terrance Liu},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/synth-data-1/}},
year={2022},
month={01},
}
@misc{DPorg-synth-data-0,
title={What is Synthetic Data?},
author={Jonathan Ullman},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/synth-data-0/}},
year={2022},
month={01},
}
@misc{DPorg-neurips2021,
title={Conference Digest - NeurIPS 2021},
author={Gautam Kamath},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/neurips2021/}},
year={2021},
month={11},
}
@misc{DPorg-how-to-deploy-ml-with-dp,
title={How to deploy machine learning with differential privacy?},
author={Nicolas Papernot and Abhradeep Thakurta},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/how-to-deploy-ml-with-dp/}},
year={2021},
month={10},
}
@misc{DPorg-one-shot-top-k,
title={One-shot DP Top-k mechanisms},
author={David Durfee and Ryan Rogers},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/one-shot-top-k/}},
year={2021},
month={08},
}
@misc{DPorg-exponential-mechanism-bounded-range,
title={A Better Privacy Analysis of the Exponential Mechanism},
author={Ryan Rogers and Thomas Steinke},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/exponential-mechanism-bounded-range/}},
year={2021},
month={07},
}
@misc{DPorg-open-problem-optimal-query-release,
title={Open Problem - Optimal Query Release for Pure Differential Privacy},
author={Aleksandar Nikolov and Jonathan Ullman},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/open-problem-optimal-query-release/}},
year={2021},
month={07},
}
@misc{DPorg-icml2021,
title={Conference Digest - ICML 2021},
author={Gautam Kamath},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/icml2021/}},
year={2021},
month={06},
}
@misc{DPorg-inference-is-not-a-privacy-violation,
title={Statistical Inference is Not a Privacy Violation},
author={Mark Bun and Damien Desfontaines and Cynthia Dwork and Moni Naor and Kobbi Nissim and Aaron Roth and Adam Smith and Thomas Steinke and Jonathan Ullman and Salil Vadhan},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/inference-is-not-a-privacy-violation/}},
year={2021},
month={06},
}
@misc{DPorg-tpdp21-cfp,
title={Call for Papers - Workshop on the Theory and Practice of Differential Privacy (TPDP 2021)},
author={Gautam Kamath},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/tpdp21-cfp/}},
year={2021},
month={05},
}
@misc{DPorg-alt-highlights,
title={ALT Highlights - An Equivalence between Private Learning and Online Learning (ALT '21 Tutorial)},
author={Kush Bhatia and Margalit Glasgow},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/alt-highlights/}},
year={2021},
month={04},
}
@misc{DPorg-flavoursofdelta,
title={What is δ, and what δifference does it make?},
author={Clément Canonne},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/flavoursofdelta/}},
year={2021},
month={03},
}
@misc{DPorg-tpdp2020,
title={Conference Digest - TPDP 2020},
author={Thomas Steinke},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/tpdp2020/}},
year={2020},
month={10},
}
@misc{DPorg-diffix-attack,
title={Reconstruction Attacks in Practice},
author={Aloni Cohen and Aleksandar Nikolov and Zachary Schutzman and Jonathan Ullman},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/diffix-attack/}},
year={2020},
month={10},
}
@misc{DPorg-reconstruction-theory,
title={The Theory of Reconstruction Attacks},
author={Aloni Cohen and Aleksandar Nikolov and Zachary Schutzman and Jonathan Ullman},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/reconstruction-theory/}},
year={2020},
month={10},
}
@misc{DPorg-neurips2020,
title={Conference Digest - NeurIPS 2020},
author={Gautam Kamath},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/neurips2020/}},
year={2020},
month={10},
}
@misc{DPorg-open-problem-avoid-union,
title={Open Problem - Avoiding the Union Bound for Multiple Queries},
author={Thomas Steinke and Jonathan Ullman},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/open-problem-avoid-union/}},
year={2020},
month={10},
}
@misc{DPorg-private-pac,
title={Differentially Private PAC Learning},
author={Matthew Joseph},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/private-pac/}},
year={2020},
month={09},
}
@misc{DPorg-icml2020,
title={Conference Digest - ICML 2020},
author={Gautam Kamath},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/icml2020/}},
year={2020},
month={08},
}
@misc{DPorg-colt2020,
title={Conference Digest - COLT 2020},
author={Gautam Kamath},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/colt2020/}},
year={2020},
month={08},
}
@misc{DPorg-privacy-composition,
title={Why Privacy Needs Composition},
author={Thomas Steinke and Jonathan Ullman},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/privacy-composition/}},
year={2020},
month={08},
}
@misc{DPorg-open-problem-all-pairs,
title={Open Problem - Private All-Pairs Distances},
author={Adam Sealfon},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/open-problem-all-pairs/}},
year={2020},
month={08},
}
@misc{DPorg-average-case-dp,
title={The Pitfalls of Average-Case Differential Privacy},
author={Thomas Steinke and Jonathan Ullman},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/average-case-dp/}},
year={2020},
month={07},
}
@misc{DPorg-stoc2020,
title={Conference Digest - STOC 2020},
author={Gautam Kamath},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/stoc2020/}},
year={2020},
month={07},
}
@misc{DPorg-trustmodels,
title={Trust Models, and Notions of Privacy},
author={Clément Canonne},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/trustmodels/}},
year={2020},
month={07},
}
@misc{DPorg-welcome,
title={Welcome to DifferentialPrivacy.org!},
author={Gautam Kamath and Thomas Steinke and Jonathan Ullman and Zhiwei Steven Wu},
howpublished={DifferentialPrivacy.org},
note={\url{https://differentialprivacy.org/welcome/}},
year={2020},
month={07},
}