The Privacy-Utility Trade-off in the Topics API
Fuente:
arXiv
Saved in:
| Main Authors: | Alvim, Mário S., Fernandes, Natasha, McIver, Annabelle, Nunes, Gabriel H. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Quantitative Information Flow Analysis of the Topics API
by: Alvim, Mário S., et al.
Published: (2023)
by: Alvim, Mário S., et al.
Published: (2023)
Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata
by: Alvim, Mário S., et al.
Published: (2022)
by: Alvim, Mário S., et al.
Published: (2022)
A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow
by: Alvim, Mário S., et al.
Published: (2023)
by: Alvim, Mário S., et al.
Published: (2023)
Composition Theorems for f-Differential Privacy
by: Fernandes, Natasha, et al.
Published: (2025)
by: Fernandes, Natasha, et al.
Published: (2025)
Empirical Calibration and Metric Differential Privacy in Language Models
by: Faustini, Pedro, et al.
Published: (2025)
by: Faustini, Pedro, et al.
Published: (2025)
Beyond Theoretical Bounds: Empirical Privacy Loss Calibration for Text Rewriting Under Local Differential Privacy
by: Li, Weijun, et al.
Published: (2026)
by: Li, Weijun, et al.
Published: (2026)
IDT: Dual-Task Adversarial Attacks for Privacy Protection
by: Faustini, Pedro, et al.
Published: (2024)
by: Faustini, Pedro, et al.
Published: (2024)
Comparing privacy notions for protection against reconstruction attacks in machine learning
by: Biswas, Sayan, et al.
Published: (2025)
by: Biswas, Sayan, et al.
Published: (2025)
Bayes' capacity as a measure for reconstruction attacks in federated learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Synthetic Data: Revisiting the Privacy-Utility Trade-off
by: Sarmin, Fatima Jahan, et al.
Published: (2024)
by: Sarmin, Fatima Jahan, et al.
Published: (2024)
Revisiting Privacy-Utility Trade-off for DP Training with Pre-existing Knowledge
by: Zheng, Yu, et al.
Published: (2024)
by: Zheng, Yu, et al.
Published: (2024)
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
by: Arcolezi, Héber H., et al.
Published: (2025)
by: Arcolezi, Héber H., et al.
Published: (2025)
A new measure for dynamic leakage based on quantitative information flow
by: Soares, Luigi D. C., et al.
Published: (2025)
by: Soares, Luigi D. C., et al.
Published: (2025)
A Public and Reproducible Assessment of the Topics API on Real Data
by: Beugin, Yohan, et al.
Published: (2024)
by: Beugin, Yohan, et al.
Published: (2024)
Beyond Privacy Trade-offs with Structured Transparency
by: Trask, Andrew, et al.
Published: (2020)
by: Trask, Andrew, et al.
Published: (2020)
The Users' Perspective on the Privacy-Utility Trade-offs in Health Recommender Systems
by: Valdez, André Calero, et al.
Published: (2018)
by: Valdez, André Calero, et al.
Published: (2018)
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Architectural Selection Framework for Synthetic Network Traffic: Quantifying the Fidelity-Utility Trade-off
by: Ammara, Dure Adan, et al.
Published: (2024)
by: Ammara, Dure Adan, et al.
Published: (2024)
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning
by: Pham, Ngoc Duy, et al.
Published: (2023)
by: Pham, Ngoc Duy, et al.
Published: (2023)
Cluster-guided LLM-Based Anonymization of Software Analytics Data: Studying Privacy-Utility Trade-offs in JIT Defect Prediction
by: Khan, Maaz, et al.
Published: (2025)
by: Khan, Maaz, et al.
Published: (2025)
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
by: Kang, Yan, et al.
Published: (2022)
by: Kang, Yan, et al.
Published: (2022)
Optimal Privacy-Utility Trade-Offs in LDP: Functional and Geometric Perspectives
by: Nam, Seung-Hyun, et al.
Published: (2026)
by: Nam, Seung-Hyun, et al.
Published: (2026)
Beyond Epsilon: A Principled QIF Framework for Local Differential Privacy
by: Gonze, Ramon G., et al.
Published: (2026)
by: Gonze, Ramon G., et al.
Published: (2026)
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
by: Li, Yuecheng, et al.
Published: (2024)
by: Li, Yuecheng, et al.
Published: (2024)
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning
by: Zhang, Xiaojin, et al.
Published: (2024)
by: Zhang, Xiaojin, et al.
Published: (2024)
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation
by: Yin, Yi, et al.
Published: (2025)
by: Yin, Yi, et al.
Published: (2025)
Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data
by: Inane, Ahmed Mehdi, et al.
Published: (2026)
by: Inane, Ahmed Mehdi, et al.
Published: (2026)
Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
by: Haydari, Ammar, et al.
Published: (2021)
by: Haydari, Ammar, et al.
Published: (2021)
Achieving Privacy Utility Balance for Multivariate Time Series Data
by: Hore, Gaurab, et al.
Published: (2024)
by: Hore, Gaurab, et al.
Published: (2024)
Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise
by: Rodio, Angelo, et al.
Published: (2025)
by: Rodio, Angelo, et al.
Published: (2025)
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy
by: Chen, Wei-Ning, et al.
Published: (2024)
by: Chen, Wei-Ning, et al.
Published: (2024)
API Security Based on Automatic OpenAPI Mapping
by: Levi, Yarin, et al.
Published: (2026)
by: Levi, Yarin, et al.
Published: (2026)
Exploring the Integration of Differential Privacy in Cybersecurity Analytics: Balancing Data Utility and Privacy in Threat Intelligence
by: Sedraoui, Brahim Khalil, et al.
Published: (2026)
by: Sedraoui, Brahim Khalil, et al.
Published: (2026)
Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
by: Kunwar, Pradip, et al.
Published: (2026)
by: Kunwar, Pradip, et al.
Published: (2026)
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation
by: Li, Haoyang, et al.
Published: (2024)
by: Li, Haoyang, et al.
Published: (2024)
Synergizing Privacy and Utility in Data Analytics Through Advanced Information Theorization
by: Alsulaimawi, Zahir
Published: (2024)
by: Alsulaimawi, Zahir
Published: (2024)
DUEF-GA: Data Utility and Privacy Evaluation Framework for Graph Anonymization
by: Casas-Roma, Jordi
Published: (2025)
by: Casas-Roma, Jordi
Published: (2025)
Differentially Private Synthetic Data Release for Topics API Outputs
by: Dick, Travis, et al.
Published: (2025)
by: Dick, Travis, et al.
Published: (2025)
Assessing Utility of Differential Privacy for RCTs
by: Webb, Kaitlyn R., et al.
Published: (2023)
by: Webb, Kaitlyn R., et al.
Published: (2023)
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
by: Chen, E, et al.
Published: (2023)
by: Chen, E, et al.
Published: (2023)
Similar Items
-
A Quantitative Information Flow Analysis of the Topics API
by: Alvim, Mário S., et al.
Published: (2023) -
Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata
by: Alvim, Mário S., et al.
Published: (2022) -
A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow
by: Alvim, Mário S., et al.
Published: (2023) -
Composition Theorems for f-Differential Privacy
by: Fernandes, Natasha, et al.
Published: (2025) -
Empirical Calibration and Metric Differential Privacy in Language Models
by: Faustini, Pedro, et al.
Published: (2025)