Privacy explanations – A means to end-user trust

Author:

Brunotte WasjaORCID,Specht Alexander,Chazette Larissa,Schneider Kurt

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference123 articles.

1. Uneasy Access: Privacy for Women in a Free Society;Allen,1988

2. To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods;Amparore;PeerJ Comput. Sci.,2021

3. How internet users’ privacy concerns have evolved since 2002;Anton;IEEE Secur. Priv.,2010

4. Challenges in applying explainability methods to improve the fairness of NLP models;Balkir,2022

5. Explicating the privacy paradox: A qualitative inquiry of online shopping consumers;Bandara;J. Retail. Consum. Serv.,2020

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1. Explanations in Everyday Software Systems: Towards a Taxonomy for Explainability Needs;2024 IEEE 32nd International Requirements Engineering Conference (RE);2024-06-24

2. A Large Language Model Approach to Code and Privacy Policy Alignment;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

3. How Explainable Is Your System? Towards a Quality Model for Explainability;Lecture Notes in Computer Science;2024

4. Navigating Online Privacy: Insights from Cybersecurity Expert;Procedia Computer Science;2024

5. Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review;Journal of Cybersecurity and Privacy;2023-09-11

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