A Picture is Worth a Thousand Risks: Inferring Privacy Risks from Home Interior Images via Object-Level Sensitivity Analysis

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Lindrit Kqiku, Eddie Bark, Archan MISRA, Delphine Reinhardt
DOI: 10.5281/zenodo.18667883
Cited by: 0

Abstract

This repository contains our curated artifact/dataset supporting our paper: “A Picture is Worth a Thousand Risks: Inferring Privacy Risks from Home Interior Images via Object-Level Sensitivity Analysis”. If you use our work, please cite:@inproceedings{Kqiku2026Picture, author = {Kqiku, L. and Bark, E. and Misra, A. and Reinhardt, D.}, title = {A Picture is Worth a Thousand Risks: Inferring Privacy Risks from Home Interior Images via Object-Level Sensitivity Analysis}, booktitle = {Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom)}, year = {2026}, note = {to appear}}

Fields of Study & Subjects

Privacy-Preserving Technologies in Data Privacy Security and Data Protection Internet Traffic Analysis and Secure E-voting

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 February 2026
Language
EN
Document type
Dataset