Cover Image

Rényi Pufferfish Privacy with Gaussian-based Priors: From Single Gaussian to Mixture Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Wenjin, Ding, Ni, Zhang, Zijian, Li, Zhen, Sun, Jing, An, Jincheng, Liu, Yong, Zhu, Liehuang
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Noise Reduction for Pufferfish Privacy: A Practical Noise Calibration Method
by: Yang, Wenjin, et al.
Published: (2026)

$α$-Wasserstein Mechanism for Rényi Pufferfish Privacy
by: Ding, Ni, et al.
Published: (2026)

Approximation of Pufferfish Privacy for Gaussian Priors
by: Ding, Ni
Published: (2024)

Multi-user Pufferfish Privacy
by: Ding, Ni, et al.
Published: (2025)

Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration
by: Pierquin, Clément, et al.
Published: (2023)

Composition for Pufferfish Privacy
by: Bai, Jiamu, et al.
Published: (2026)

Sliced Rényi Pufferfish Privacy: Directional Additive Noise Mechanism and Private Learning with Gradient Clipping
by: Zhang, Tao, et al.
Published: (2025)

EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
by: Li, Zhen, et al.
Published: (2025)

A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model
by: Xie, Tianxiu, et al.
Published: (2024)

RAIN: Secure and Robust Aggregation under Shuffle Model of Differential Privacy
by: Li, Yuhang, et al.
Published: (2026)

Epass: Efficient and Privacy-Preserving Asynchronous Payment on Blockchain
by: Wang, Weijie, et al.
Published: (2025)

Mind the Gap: Mixtures of Gaussians in Approximate Differential Privacy
by: Liu, Huikang, et al.
Published: (2026)

Survey on Quality Assurance of Smart Contracts
by: Wei, Zhiyuan, et al.
Published: (2023)

SLVC-DIDA: Signature-less Verifiable Credential-based Issuer-hiding and Multi-party Authentication for Decentralized Identity
by: Xie, Tianxiu, et al.
Published: (2025)

Efficient and Privacy-Preserving Distribution Statistics Analytics on Mobile Spatial Data
by: Ren, Xuhao, et al.
Published: (2026)

ActiveFlowMark: Assessing Tor Anonymity under Active Bandwidth Watermarking
by: Fan, Zilve, et al.
Published: (2026)

Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems
by: Nuradha, Theshani, et al.
Published: (2023)

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

DiffuseTrace: A Transparent and Flexible Watermarking Scheme for Latent Diffusion Model
by: Lei, Liangqi, et al.
Published: (2024)

No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
by: Xing, Zhibo, et al.
Published: (2024)

Residual-PAC Privacy: Automatic Privacy Control Beyond the Gaussian Barrier
by: Zhang, Tao, et al.
Published: (2025)

GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy
by: Sun, Haochen, et al.
Published: (2025)

Less is More: Revisiting the Gaussian Mechanism for Differential Privacy
by: Ji, Tianxi, et al.
Published: (2023)

Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
by: Räisä, Ossi, et al.
Published: (2025)

Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios
by: Lei, Liangqi, et al.
Published: (2025)

Zero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey
by: Xing, Zhibo, et al.
Published: (2023)

Extending RAIM with a Gaussian Mixture of Opportunistic Information
by: Liu, Wenjie, et al.
Published: (2024)

Two-layer consensus based on master-slave consortium chain data sharing for Internet of Vehicles
by: Zhao, Feng, et al.
Published: (2024)

Measured Hockey-Stick Divergence and its Applications to Quantum Pufferfish Privacy
by: Nuradha, Theshani, et al.
Published: (2025)

AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection
by: Gao, Jianbo, et al.
Published: (2025)

PCDiff: Proactive Control for Ownership Protection in Diffusion Models with Watermark Compatibility
by: Gai, Keke, et al.
Published: (2025)

Privacy-aware Gaussian Process Regression
by: Tuo, Rui, et al.
Published: (2023)

On the Privacy of Selection Mechanisms with Gaussian Noise
by: Lebensold, Jonathan, et al.
Published: (2024)

S-Leak: Leakage-Abuse Attack Against Efficient Conjunctive SSE via s-term Leakage
by: Su, Yue, et al.
Published: (2025)

PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy
by: Jiang, Zepeng, et al.
Published: (2024)

Watermarking Visual Concepts for Diffusion Models
by: Lei, Liangqi, et al.
Published: (2024)

Formalization Driven LLM Prompt Jailbreaking via Reinforcement Learning
by: Wang, Zhaoqi, et al.
Published: (2025)

Federated Naive Bayes with Real Mixture of Gaussians and Institutional Governance Regularization for Network Intrusion Detection
by: Logroño, Herrera, et al.
Published: (2026)

PSY: Posterior Sampling Based Privacy Enhancer in Large Language Models
by: Sun, Yulian, et al.
Published: (2024)

UPPRESSO: Untraceable and Unlinkable Privacy-PREserving Single Sign-On Services
by: Guo, Chengqian, et al.
Published: (2021)