Explain to me: Towards understanding privacy decisions

Name: Explain to me: Towards understanding privacy decisions
Author: Aycı, G., Şensoy, Murat, Özgür, A., Yolum, P.

İsim	Explain to me: Towards understanding privacy decisions
Yazar	Aycı, G., Şensoy, Murat, Özgür, A., Yolum, P.
Basım Tarihi:	2023
Basım Yeri	- International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Konu	Explainability, Online social networks, Privacy
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1548-8403
Kayıt Numarası	9fbf9094-cf7a-4e80-9f43-8d25dfc561fe
Lokasyon	Computer Science
Tarih	2023
Notlar	Ministerie van Onderwijs, Cultuur en Wetenschap ; Nederlandse Organisatie voor Wetenschappelijk Onderzoek ; TÜBİTAK
Örnek Metin	Privacy assistants help users manage their privacy online. Their tasks could vary from detecting privacy violations to recommending sharing actions for content that the user intends to share. Recent work on these tasks are promising and show that privacy assistants can successfully tackle them. However, for such privacy assistants to be employed by users, it is important that these assistants can explain their decisions to users. Accordingly, this work develops a methodology to create explanations of privacy. The methodology is based on identifying important topics in a domain of interest, providing explanation schemes for decisions, and generating them automatically. We apply our proposed methodology on a real-world privacy data set, which contains images labeled as private or public to explain the labels.

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Explain to me: Towards understanding privacy decisions

Yazar Aycı, G., Şensoy, Murat, Özgür, A., Yolum, P.

Basım Tarihi 2023

Basım Yeri - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

Konu Explainability, Online social networks, Privacy

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1548-8403

Kayıt Numarası 9fbf9094-cf7a-4e80-9f43-8d25dfc561fe

Lokasyon Computer Science

Tarih 2023

Notlar Ministerie van Onderwijs, Cultuur en Wetenschap ; Nederlandse Organisatie voor Wetenschappelijk Onderzoek ; TÜBİTAK

Örnek Metin Privacy assistants help users manage their privacy online. Their tasks could vary from detecting privacy violations to recommending sharing actions for content that the user intends to share. Recent work on these tasks are promising and show that privacy assistants can successfully tackle them. However, for such privacy assistants to be employed by users, it is important that these assistants can explain their decisions to users. Accordingly, this work develops a methodology to create explanations of privacy. The methodology is based on identifying important topics in a domain of interest, providing explanation schemes for decisions, and generating them automatically. We apply our proposed methodology on a real-world privacy data set, which contains images labeled as private or public to explain the labels.