:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Breutigam, Dennis, Reischuk, Rüdiger
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security
Accesso online:	https://arxiv.org/abs/2504.11429
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Parallel Composition for Statistical Privacy
di: Breutigam, Dennis, et al.
Pubblicazione: (2026)

Statistical Privacy
di: Breutigam, Dennis, et al.
Pubblicazione: (2025)

Calibrating Noise for Group Privacy in Subsampled Mechanisms
di: Jiang, Yangfan, et al.
Pubblicazione: (2024)

Privacy Amplification for BandMF via $b$-Min-Sep Subsampling
di: Dong, Andy, et al.
Pubblicazione: (2026)

Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
di: Schuchardt, Jan, et al.
Pubblicazione: (2024)

Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
di: Ghazi, Badih, et al.
Pubblicazione: (2024)

Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
di: Schuchardt, Jan, et al.
Pubblicazione: (2025)

Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition
di: Lebeda, Christian Janos, et al.
Pubblicazione: (2024)

Continual Release of Densest Subgraphs: Privacy Amplification & Sublinear Space via Subsampling
di: Zhou, Felix
Pubblicazione: (2025)

Practical Differentially Private Hyperparameter Tuning with Subsampling
di: Koskela, Antti, et al.
Pubblicazione: (2023)

Formal Privacy Guarantees with Invariant Statistics
di: Cho, Young Hyun, et al.
Pubblicazione: (2024)

A Privacy-Preserving Data Collection Method for Diversified Statistical Analysis
di: Jiang, Hao, et al.
Pubblicazione: (2025)

VPAS: Publicly Verifiable and Privacy-Preserving Aggregate Statistics on Distributed Datasets
di: Alghazwi, Mohammed, et al.
Pubblicazione: (2024)

Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing
di: Wang, Shuaiqi, et al.
Pubblicazione: (2024)

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

PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption
di: Choi, Hyunmin
Pubblicazione: (2025)

A Game-Theoretic Approach to Privacy-Utility Tradeoff in Sharing Genomic Summary Statistics
di: Zhang, Tao, et al.
Pubblicazione: (2024)

Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
di: Kunwar, Pradip, et al.
Pubblicazione: (2026)

Data-Driven Subsampling in the Presence of an Adversarial Actor
di: Jameel, Abu Shafin Mohammad Mahdee, et al.
Pubblicazione: (2024)

Less Random, More Private: What is the Optimal Subsampling Scheme for DP-SGD?
di: Dong, Andy, et al.
Pubblicazione: (2026)

On the Statistical Complexity of Estimation and Testing under Privacy Constraints
di: Lalanne, Clément, et al.
Pubblicazione: (2022)

N-output Mechanism: Estimating Statistical Information from Numerical Data under Local Differential Privacy
di: Baek, Incheol, et al.
Pubblicazione: (2025)

Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation
di: Räisä, Ossi, et al.
Pubblicazione: (2024)

On Computing Pairwise Statistics with Local Differential Privacy
di: Ghazi, Badih, et al.
Pubblicazione: (2024)

Privacy-Preserving Statistical Data Generation: Application to Sepsis Detection
di: Macias-Fassio, Eric, et al.
Pubblicazione: (2024)

On Improving the Composition Privacy Loss in Differential Privacy for Fixed Estimation Error
di: Rameshwar, V. Arvind, et al.
Pubblicazione: (2024)

Improving Privacy-Preserving Techniques for Smart Grid using Lattice-based Cryptography
di: Darzi, Saleh, et al.
Pubblicazione: (2024)

Trade-off Functions for DP-SGD with Subsampling based on Random Shuffling: Tight Upper and Lower Bounds
di: van Dijk, Marten, et al.
Pubblicazione: (2026)

Scalable DP-SGD: Shuffling vs. Poisson Subsampling
di: Chua, Lynn, et al.
Pubblicazione: (2024)

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

B-Privacy: Defining and Enforcing Privacy in Weighted Voting
di: Breckenridge, Samuel, et al.
Pubblicazione: (2025)

Smart Car Privacy: Survey of Attacks and Privacy Issues
di: Deshmukh, Akshay Madhav
Pubblicazione: (2025)

Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy
di: Chen, Wei-Ning, et al.
Pubblicazione: (2024)

Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy
di: Covington, Christian, et al.
Pubblicazione: (2021)

PrivacyGo: Privacy-Preserving Ad Measurement with Multidimensional Intersection
di: Du, Jian, et al.
Pubblicazione: (2025)

Interdependent Privacy in Smart Homes: Hunting for Bystanders in Privacy Policies
di: Liu, Shuaishuai, et al.
Pubblicazione: (2025)

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

Privacy-Enhanced Adaptive Authentication: User Profiling with Privacy Guarantees
di: Baseri, Yaser, et al.
Pubblicazione: (2024)

Actual Knowledge Gain as Privacy Loss in Local Privacy Accounting
di: Pan, Mingen
Pubblicazione: (2023)

Improving Privacy Benefits of Redaction
di: Gusain, Vaibhav, et al.
Pubblicazione: (2025)