Cover Image

DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Küchler, Nicolas, Viand, Alexander, Lycklama, Hidde, Hithnawi, Anwar
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning
by: Lycklama, Hidde, et al.
Published: (2024)

Artemis: Efficient Commit-and-Prove SNARKs for zkML
by: Lycklama, Hidde, et al.
Published: (2024)

UTrace: Poisoning Forensics for Private Collaborative Learning
by: Rose, Evan, et al.
Published: (2024)

On the Differential Privacy and Interactivity of Privacy Sandbox Reports
by: Ghazi, Badih, et al.
Published: (2024)

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
by: Du, Rong, et al.
Published: (2025)

Interpreting Differential Privacy in Terms of Disclosure Risk
by: Kazan, Zeki, et al.
Published: (2025)

Releasing Large-Scale Human Mobility Histograms with Differential Privacy
by: Bian, Christopher, et al.
Published: (2024)

Differential Privacy with Multiple Selections
by: Goel, Ashish, et al.
Published: (2024)

Within-Dataset Disclosure Risk for Differential Privacy
by: Zhu, Zhiru, et al.
Published: (2023)

Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy
by: Riess, Anneliese, et al.
Published: (2026)

Approximate Differential Privacy of the $\ell_2$ Mechanism
by: Joseph, Matthew, et al.
Published: (2025)

RAG with Differential Privacy
by: Grislain, Nicolas
Published: (2024)

Verifiable Differential Privacy
by: Biswas, Ari, et al.
Published: (2022)

Crypto-Assisted Graph Degree Sequence Release under Local Differential Privacy
by: Zhang, Xiaojian, et al.
Published: (2025)

Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
by: Haydari, Ammar, et al.
Published: (2021)

Randomized Response with Gradual Release of Privacy Budget
by: Pan, Mingen
Published: (2024)

Learning to Attack: Uncovering Privacy Risks in Sequential Data Releases
by: Cui, Ziyao, et al.
Published: (2025)

Privacy Engineering in Smart Home (SH) Systems: A Comprehensive Privacy Threat Analysis and Risk Management Approach
by: Alalade, Emmanuel Dare, et al.
Published: (2024)

Differential Privacy for Network Assortativity
by: Ma, Fei, et al.
Published: (2025)

Network-Aware Differential Privacy
by: Li, Zhou, et al.
Published: (2025)

Verified Foundations for Differential Privacy
by: de Medeiros, Markus, et al.
Published: (2024)

Differential Privacy Made Easy
by: Aitsam, Muhammad
Published: (2022)

Practical Considerations for Differential Privacy
by: Amin, Kareem, et al.
Published: (2024)

Elephants Do Not Forget: Differential Privacy with State Continuity for Privacy Budget
by: Jin, Jiankai, et al.
Published: (2024)

Privacy-Preserving Set-Based Estimation Using Differential Privacy and Zonotopes
by: Dawoud, Mohammed M., et al.
Published: (2024)

Differential Privacy for Symbolic Trajectories via the Permute-and-Flip Mechanism
by: Benvenuti, Alexander, et al.
Published: (2026)

On the Privacy Risk of In-context Learning
by: Duan, Haonan, et al.
Published: (2024)

Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy
by: Kazan, Zeki, et al.
Published: (2023)

Privacy in Theory, Bugs in Practice: Grey-Box Auditing of Differential Privacy Libraries
by: Cebere, Tudor, et al.
Published: (2026)

A Unifying Privacy Analysis Framework for Unknown Domain Algorithms in Differential Privacy
by: Rogers, Ryan
Published: (2023)

Local Distance Query with Differential Privacy
by: Sheng, Weihong, et al.
Published: (2025)

Differential Confounding Privacy and Inverse Composition
by: Zhang, Tao, et al.
Published: (2024)

Federated Graph Analytics with Differential Privacy
by: Liu, Shang, et al.
Published: (2024)

Advances in Differential Privacy and Differentially Private Machine Learning
by: Das, Saswat, et al.
Published: (2024)

Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy
by: Ryu, Sehyun, et al.
Published: (2024)

Sequential Change Detection for Multiple Data Streams with Differential Privacy
by: Zhang, Lixing, et al.
Published: (2026)

DP-SMOTE: Integrating Differential Privacy and Oversampling Technique to Preserve Privacy in Smart Homes
by: Elsayed, Amr Tarek, et al.
Published: (2025)

Local Differential Privacy for Federated Learning with Fixed Memory Usage and Per-Client Privacy
by: Behnia, Rouzbeh, et al.
Published: (2025)

Privacy-Preserving Identity and Access Management in Multiple Cloud Environments: Models, Issues, and Solutions
by: Cuzzocrea, Alfredo, et al.
Published: (2024)

Private Linear Regression with Differential Privacy and PAC Privacy
by: Yang, Hillary, et al.
Published: (2024)