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Information-Theoretic Approaches to Differential Privacy

https://doi.org/10.1145/3604904
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11681878_14openalex-snapshot
Calibrating Noise to Sensitivity in Private Data Analysis
inferredcites →https://doi.org/10.1007/11787006openalex-snapshot
Automata, Languages and Programming
inferredcites →https://doi.org/10.1007/978-3-540-79228-4_1openalex-snapshot
Differential Privacy: A Survey of Results
inferredcites →https://doi.org/10.1007/978-3-642-28914-9_18openalex-snapshot
Lower Bounds in Differential Privacy
inferredcites →https://doi.org/10.1007/978-3-642-29420-4_3openalex-snapshot
Differential Privacy: On the Trade-Off between Utility and Information Leakage
inferredcites →https://doi.org/10.1007/978-3-642-32009-5openalex-snapshot
Advances in Cryptology – CRYPTO 2012
inferredcites →https://doi.org/10.1016/j.jcss.2003.11.006openalex-snapshot
An information statistics approach to data stream and communication complexity
inferredcites →https://doi.org/10.1109/afrcon.2017.8095692openalex-snapshot
Privacy-preserving quantum machine learning using differential privacy
inferredcites →https://doi.org/10.1109/csf.2017.23openalex-snapshot
Differential Privacy in Quantum Computation
inferredcites →https://doi.org/10.1109/focs.2010.12openalex-snapshot
Boosting and Differential Privacy
inferredcites →https://doi.org/10.1109/focs.2010.14openalex-snapshot
The Limits of Two-Party Differential Privacy
inferredcites →https://doi.org/10.1109/icde.2008.4497436openalex-snapshot
Privacy: Theory meets Practice on the Map
inferredcites →https://doi.org/10.1109/isit17698.2013openalex-snapshot
2013 IEEE International Symposium on Information Theory
inferredcites →https://doi.org/10.1109/itw.2007.4313036openalex-snapshot
2007 IEEE Information Theory Workshop
inferredcites →https://doi.org/10.1109/mitp.2023.3246667openalex-snapshot
IEEE Symposium on Security and Privacy
inferredcites →https://doi.org/10.1109/tit.2008.2011699openalex-snapshot
2009 IEEE International Symposium on Information Theory (ISIT2009)
inferredcites →https://doi.org/10.1109/tit.2016.2584610openalex-snapshot
On the Relation Between Identifiability, Differential Privacy, and Mutual-Information Privacy
inferredcites →https://doi.org/10.1109/tit.2019.2959976openalex-snapshot
The Trade-Off Between Privacy and Fidelity via Ehrhart Theory
inferredcites →https://doi.org/10.1109/wifs49906.2020openalex-snapshot
2020 IEEE International Workshop on Information Forensics and Security (WIFS)
inferredcites →https://doi.org/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/2030613.2030630openalex-snapshot
Anonymization of location data does not work
inferredcites →https://doi.org/10.1145/2660267.2660348openalex-snapshot
RAPPOR
inferredcites →https://doi.org/10.1145/3313276.3316378openalex-snapshot
Gentle measurement of quantum states and differential privacy
inferredcites →https://doi.org/10.1371/journal.pone.0028071openalex-snapshot
A Systematic Review of Re-Identification Attacks on Health Data
inferredcites →https://doi.org/10.1561/0400000042openalex-snapshot
The Algorithmic Foundations of Differential Privacy
inferredcites →https://doi.org/10.2139/ssrn.3890657openalex-snapshot
Pegasus Spyware – 'A Privacy Killer'
inferredcites →https://doi.org/10.24963/ijcai.2022/766openalex-snapshot
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
inferredcites →https://doi.org/10.29012/jpc.v1i2.570openalex-snapshot
Differential Privacy for Statistics: What we Know and What we Want to Learn
inferredcites →https://doi.org/10.3390/jcp2040042openalex-snapshot
Calibrating the Attack to Sensitivity in Differentially Private Mechanisms
inferredcites →https://doi.org/10.48550/arxiv.1811.12257openalex-snapshot
Locally Differentially-Private Randomized Response for Discrete Distribution Learning
inferredcites →https://doi.org/10.5281/zenodo.2562088openalex-snapshot
Locally Differentially-Private Randomized Response for Discrete Distribution Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-26836-5_4openalex-snapshot
AskSafely: Privacy-Aware LLM Query Generation for Knowledge Graphs
inferred← citeshttps://doi.org/10.1016/j.adhoc.2026.104205openalex-snapshot
A review of privacy-aware blockchain architectures for vehicular energy trading networks
inferred← citeshttps://doi.org/10.1016/j.aei.2024.103085openalex-snapshot
Implementation path and reference model for Multilateral Data Circulation System (MDCS) in Datacentric Product-Service System (DPSS): from an industrial practice survey
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104579openalex-snapshot
Privacy-preserving distributed clustering: A fully homomorphic encrypted approach for time series
inferred← citeshttps://doi.org/10.1088/1751-8121/ada0f9openalex-snapshot
Mathematical comparison of classical and quantum mechanisms in optimization under local differential privacy
inferred← citeshttps://doi.org/10.1109/cai68641.2026.11536512openalex-snapshot
Formalisation of Security for Federated Learning with DP and Attacker Advantage in IIIf for Satellite Swarms
inferred← citeshttps://doi.org/10.1109/comst.2024.3519861openalex-snapshot
Characterization and Quantification of User Privacy: Key Challenges, Regulations, and Future Directions
inferred← citeshttps://doi.org/10.1109/icc59461.2026.11587492openalex-snapshot
Over-the-Air Federated Compressive Learning with Privacy-Amplified Learnable One-Bit Updates
inferred← citeshttps://doi.org/10.1109/iciteics64870.2025.11341541openalex-snapshot
Privacy-Enhanced Sparse Mobile Crowdsensing Leveraging Differential Privacy and Distortion Techniques for Secure Data Aggregation
inferred← citeshttps://doi.org/10.1109/tifs.2025.3575338openalex-snapshot
Optimal Privacy-Aware Stochastic Sampling
inferred← citeshttps://doi.org/10.3390/math12142150openalex-snapshot
An Effective Federated Object Detection Framework with Dynamic Differential Privacy
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