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Technical Privacy Metrics: a Systematic Survey

1 December 2015

Papers citing "Technical Privacy Metrics: a Systematic Survey"

27 / 27 papers shown

Title
DUEF-GA: Data Utility and Privacy Evaluation Framework for Graph Anonymization Jordi Casas-Roma 126 5 0 27 Jan 2025
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 70 4 0 15 Nov 2024
Synthetic Data: Revisiting the Privacy-Utility Trade-off Fatima Jahan Sarmin Atiquer Rahman Sarkar Yang Wang Noman Mohammed 66 3 0 09 Jul 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 128 5 0 25 May 2024
Data Readiness for AI: A 360-Degree Survey Kaveen Hiniduma Suren Byna J. L. Bez 70 8 0 08 Apr 2024
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks Daniel Scheliga Patrick Mäder M. Seeland FedML AAML 74 5 0 08 Sep 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 104 48 0 14 Jun 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 86 24 0 20 Feb 2023
Extending Expressive Access Policies with Privacy Features Stefan More Sebastian Ramacher Lukas Alber Marco Herzl 44 3 0 05 Dec 2022
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing Samuel Sousa Roman Kern PILM AILaw 71 46 0 20 May 2022
Private Quantiles Estimation in the Presence of Atoms Clément Lalanne C. Gastaud Nicolas Grislain Aurélien Garivier Rémi Gribonval 38 8 0 15 Feb 2022
A Review on Visual Privacy Preservation Techniques for Active and Assisted Living Siddharth Ravi Pau Climent-Pérez Francisco Flórez-Revuelta 75 35 0 17 Dec 2021
HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation Chance N. DeSmet D. Cook 79 0 0 13 Nov 2021
A Survey of Privacy Vulnerabilities of Mobile Device Sensors Paula Delgado-Santos Giuseppe Stragapede Ruben Tolosana R. Guest F. Deravi R. Vera-Rodríguez PILM 73 47 0 18 Jun 2021
Privacy and Confidentiality in Process Mining -- Threats and Research Challenges Gamal Elkoumy Stephan A. Fahrenkrog-Petersen M. Sani A. Koschmider F. Mannhardt Saskia Nuñez Von Voigt Majid Rafiei Leopold von Waldthausen 63 41 0 01 Jun 2021
Privacy-preserving Analytics for Data Markets using MPC Karl Koch Stephan Krenn Donato Pellegrino Sebastian Ramacher 46 14 0 05 Mar 2021
Research Challenges in Designing Differentially Private Text Generation Mechanisms Oluwaseyi Feyisetan Abhinav Aggarwal Zekun Xu Nathanael Teissier 126 8 0 10 Dec 2020
Data Minimization for GDPR Compliance in Machine Learning Models Abigail Goldsteen Gilad Ezov Ron Shmelkin Micha Moffie Ariel Farkash 46 65 0 06 Aug 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 76 130 0 05 Aug 2020
Privacy-preserving Voice Analysis via Disentangled Representations Ranya Aloufi Hamed Haddadi David E. Boyle DRL 116 58 0 29 Jul 2020
A Case for Maximal Leakage as a Side Channel Leakage Metric Benjamin Wu Aaron B. Wagner G. E. Suh AAML 28 3 0 17 Apr 2020
Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality Jaybie A. de Guzman Kanchana Thilakarathna Aruna Seneviratne 58 8 0 17 Apr 2020
Secure Multi-Party Computation for Inter-Organizational Process Mining Gamal Elkoumy Stephan A. Fahrenkrog-Petersen Marlon Dumas Peeter Laud A. Pankova Matthias Weidlich 41 31 0 04 Dec 2019
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text Oluwaseyi Feyisetan Tom Diethe Thomas Drake 71 75 0 20 Oct 2019
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations Oluwaseyi Feyisetan Borja Balle Thomas Drake Tom Diethe 64 157 0 20 Oct 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 143 4,562 0 21 Aug 2019
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 160 126 0 04 Jun 2019