Image de couverture de livre

Interpreting Differential Privacy in Terms of Disclosure Risk

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kazan, Zeki, Sharma, Sagar, Zhang, Wanrong, Jiang, Bo, Yan, Qiang
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy
par: Kazan, Zeki, et autres
Publié: (2023)

Bayesian Inference Under Differential Privacy With Bounded Data
par: Kazan, Zeki, et autres
Publié: (2024)

Meeting Utility Constraints in Differential Privacy: A Privacy-Boosting Approach
par: Jiang, Bo, et autres
Publié: (2024)

Budget Recycling Differential Privacy
par: Jiang, Bo, et autres
Publié: (2024)

Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy
par: Xiao, Yingtai, et autres
Publié: (2024)

Within-Dataset Disclosure Risk for Differential Privacy
par: Zhu, Zhiru, et autres
Publié: (2023)

When Focus Enhances Utility: Target Range LDP Frequency Estimation and Unknown Item Discovery
par: Jiang, Bo, et autres
Publié: (2024)

An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses
par: Liang, Hao, et autres
Publié: (2025)

PrivacyGo: Privacy-Preserving Ad Measurement with Multidimensional Intersection
par: Du, Jian, et autres
Publié: (2025)

DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
par: Küchler, Nicolas, et autres
Publié: (2025)

Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters
par: Haney, Samuel, et autres
Publié: (2023)

Laplace Transform Interpretation of Differential Privacy
par: Chourasia, Rishav, et autres
Publié: (2024)

Membership Inference Attacks and Privacy in Topic Modeling
par: Manzonelli, Nico, et autres
Publié: (2024)

Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing (Extended Version)
par: Guerra-Balboa, Patricia, et autres
Publié: (2026)

"Sign in with ... Privacy'': Timely Disclosure of Privacy Differences among Web SSO Login Options
par: Morkonda, Srivathsan G., et autres
Publié: (2022)

Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy
par: Wu, Haoqi, et autres
Publié: (2025)

Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
par: Cummings, Rachel, et autres
Publié: (2023)

Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy
par: Riess, Anneliese, et autres
Publié: (2026)

Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
par: Haydari, Ammar, et autres
Publié: (2021)

Verifiable Differential Privacy
par: Biswas, Ari, et autres
Publié: (2022)

A Decade of Metric Differential Privacy: Advancements and Applications
par: Xie, Xinpeng, et autres
Publié: (2025)

Differential Confounding Privacy and Inverse Composition
par: Zhang, Tao, et autres
Publié: (2024)

On the Differential Privacy and Interactivity of Privacy Sandbox Reports
par: Ghazi, Badih, et autres
Publié: (2024)

SD-BLS: Privacy Preserving Selective Disclosure of Verifiable Credentials with Unlinkable Threshold Revocation
par: Roio, Denis, et autres
Publié: (2024)

RASE: Efficient Privacy-preserving Data Aggregation against Disclosure Attacks for IoTs
par: Wang, Zuyan, et autres
Publié: (2024)

Differential Privacy for Network Assortativity
par: Ma, Fei, et autres
Publié: (2025)

Network-Aware Differential Privacy
par: Li, Zhou, et autres
Publié: (2025)

Verified Foundations for Differential Privacy
par: de Medeiros, Markus, et autres
Publié: (2024)

Differential Privacy Made Easy
par: Aitsam, Muhammad
Publié: (2022)

Practical Considerations for Differential Privacy
par: Amin, Kareem, et autres
Publié: (2024)

DPBloomfilter: Securing Bloom Filters with Differential Privacy
par: Ke, Yekun, et autres
Publié: (2025)

Advances in Differential Privacy and Differentially Private Machine Learning
par: Das, Saswat, et autres
Publié: (2024)

Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates
par: Wang, Chuanyin, et autres
Publié: (2025)

Bipartite Randomized Response Mechanism for Local Differential Privacy
par: Zhang, Shun, et autres
Publié: (2025)

Correction to Local Information Privacy and Its Applications to Data Aggregation
par: Jiang, Bo, et autres
Publié: (2024)

RAIN: Secure and Robust Aggregation under Shuffle Model of Differential Privacy
par: Li, Yuhang, et autres
Publié: (2026)

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation
par: Jiang, Yu, et autres
Publié: (2024)

Convergent Differential Privacy Analysis for General Federated Learning
par: Sun, Yan, et autres
Publié: (2024)

Calibrating Practical Privacy Risks for Differentially Private Machine Learning
par: Gu, Yuechun, et autres
Publié: (2024)

Security, Privacy, and Ethical Risks in OpenClaw
par: Jin, Yutong, et autres
Publié: (2026)