Privkit: A Toolkit of Privacy-Preserving Mechanisms for Heterogeneous Data Types-Reference-Cited by-同舟云学术

Privkit: A Toolkit of Privacy-Preserving Mechanisms for Heterogeneous Data Types

Published:2024-06-19 Issue: Volume:347 Page:319-324
ISSN:
Container-title:Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy
language:
Short-container-title:

Author:

Cunha Mariana¹^ORCID,Duarte Guilherme¹^ORCID,Andrade Ricardo²^ORCID,Mendes Ricardo³^ORCID,Vilela João P.¹^ORCID

Affiliation:

1. CISUC & CRACS/INESC TEC, and Department of Computer Science, University of Porto, Coimbra, Portugal

2. Department of Computer Science, University of Porto, Porto, Portugal

3. CISUC & Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

Funder

European Social Fund through the Regional Operational Program Centro 2020 of Fundação para a Ciência e a Tecnologia (FCT)

European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) and Portugal 2020

Fundação para a Ciência e a Tecnologia

Smart Networks and Services Joint Undertaking (SNS JU) under the European Union?s Horizon Europe research and innovation programme

Fundação para a Ciência e a Tecnologia (FCT)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626232.3653284

Reference36 articles.

1. Alessandro Acquisti, Laura Brandimarte, and George Loewenstein. 2015. Privacy and human behavior in the age of information. Science, Vol. 347, 6221 (2015), 509--514.

2. An adaptive geo-indistinguishability mechanism for continuous LBS queries

3. Ricardo Andrade. 2023. Privacy-Preserving Face Detection: A Comprehensive Analysis of Face Anonymization Techniques. Master's thesis. University of Porto.

4. Geo-indistinguishability

5. Where You Go Matters