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Personalized Privacy-aware Image Classification

Eleftherios Spyromitros-Xioufis, Symeon Papadopoulos, Adrian Popescu, Yiannis Kompatsiaris
2016 Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval - ICMR '16  
As part of USEMP, a coordinated research effort aimed at user empowerment, we introduce a system that performs privacy-aware classification of images.  ...  Motivated by this, we develop personalized privacy classification models that, utilizing small amounts of user feedback, provide significantly better performance than generic models.  ...  CONCLUSION AND FUTURE WORK We presented a framework for personalized privacy-aware image classification.  ... 
doi:10.1145/2911996.2912018 dblp:conf/mir/XioufisP0K16 fatcat:rfbd6ty2cncbdohr5dmsdvnrzy

Confidential Policy for Protecting User Images Uploaded on Shared Web Sites

Akula Kiranmai, Gunisetti Loshma
2017 International Journal of Scientific Research and Management  
Such a hierarchical classification provides a higher priority to image content.  ...  We propose a two-level framework which according to the user's available history on the site, determines the best available privacy policy for the user's images being uploaded.  ...  Photo sharing users often lack awareness of privacy issues.  ... 
doi:10.18535/ijsrm/v5i6.50 fatcat:iewptkwmrjfwlk34vyispcxbra

Automatic Privacy Classification of Personal Photos [chapter]

Daniel Buschek, Moritz Bader, Emanuel von Zezschwitz, Alexander De Luca
2015 Lecture Notes in Computer Science  
In a field study with 16 participants, each user assigned 150 personal photos to self-defined privacy classes.  ...  Therefore, we present an approach to automatically assign photos to privacy classes. We further demonstrate a study method to gather relevant image data without violating participants' privacy.  ...  Privacy -aware photo applications need information about the privacy class of each picture. This can lead to ted ious manual assignments.  ... 
doi:10.1007/978-3-319-22668-2_33 fatcat:mrkmo55pwvdgziaqlzvfogapri

A Self-aware Personal Assistant for Making Personalized Privacy Decisions [article]

Gonul Ayci, Murat Sensoy, Arzucan Özgür, Pınar Yolum
2022 arXiv   pre-print
However, privacy is inherently ambiguous and highly personal. Existing approaches to recommend privacy decisions do not address these aspects of privacy sufficiently.  ...  By factoring in the user's own understanding of privacy, such as risk factors or own labels, the personal assistant can personalize its recommendations per user.  ...  However, PURE is both uncertainty-aware and risk-aware model for predicting privacy labels of images.  ... 
arXiv:2205.06544v2 fatcat:ul26bsmhmvfs7chjbsyalp2hfu

Privacy-Aware Activity Classification from First Person Office Videos [article]

Partho Ghosh, Md. Abrar Istiak, Nayeeb Rashid, Ahsan Habib Akash, Ridwan Abrar, Ankan Ghosh Dastider, Asif Shahriyar Sushmit, Taufiq Hasan
2020 arXiv   pre-print
In this work, we developed a privacy-aware activity classification system focusing on office videos.  ...  In the advent of wearable body-cameras, human activity classification from First-Person Videos (FPV) has become a topic of increasing importance for various applications, including in life-logging, law-enforcement  ...  In this work, we develop a privacy-aware activity classification framework for office videos.  ... 
arXiv:2006.06246v1 fatcat:hhvslmca4nbqxde72zuov263s4

User-Uploaded Images Privacy Policy Prediction Using Classification And Policy Mining

Aishwarya Singh*, Sushmita Singh, Bhavesh Mandalkar
2016 Zenodo  
The result relies on an image classification structure for image categories which may be related to the same type of policies, and on a policy prediction algorithm for automatically generate a policy for  ...  Users of social media share plenty of personal information with a large number of "friends."  ...  ACKNOWLEDGMENTS It gives us great pleasure in presenting the preliminary project report on User-Uploaded Images Privacy Policy Prediction Using Classification and Policy Mining.  ... 
doi:10.5281/zenodo.47620 fatcat:2cjgiwq2trgijdfet525ivw7ji

Privacy-aware image classification and search

Sergej Zerr, Stefan Siersdorfer, Jonathon Hare, Elena Demidova
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
to automatically detect private images, and to enable privacy-oriented image search.  ...  In order to support users in making privacy decisions in the context of image sharing and to provide them with a better overview on privacy related visual content available on the Web, we propose techniques  ...  Photo sharing users often lack awareness of privacy issues.  ... 
doi:10.1145/2348283.2348292 dblp:conf/sigir/ZerrSHD12 fatcat:whytrzqiqvhojjzbpvvgoz2eqq

Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras [article]

Jiayu Shu, Rui Zheng, Pan Hui
2016 arXiv   pre-print
The framework provides people with fine-grained visual privacy protection using: i) personal privacy profiles, with which people can define their context-dependent privacy preferences; and ii) visual indicators  ...  Motivated by recent user studies that people's privacy concerns are dependent on the context, in this paper, we propose Cardea, a context-aware and interactive visual privacy protection framework that  ...  Context-aware Computing Location, scene, and people in the image are three context elements defined in users' privacy profiles.  ... 
arXiv:1610.00889v1 fatcat:aqpdu6m2pzg4vh4rs5azds2euy

PrivPAS: A real time Privacy-Preserving AI System and applied ethics [article]

Harichandana B S S, Vibhav Agarwal, Sourav Ghosh, Gopi Ramena, Sumit Kumar, Barath Raj Kandur Raja
2022 arXiv   pre-print
These privacy violations are amplified for people with disabilities, who may find it challenging to raise dissent even if they are aware.  ...  Such unauthorized image captures may also be misused to gain sympathy by third-party organizations, leading to a privacy breach.  ...  Object detection and localization CNNs [10] dominate image detection and classification tasks in computer vision and require relatively little preprocessing compared to other image classification algorithms  ... 
arXiv:2202.02524v2 fatcat:fwg4jwyptnfl3ppamewa6oo4ba

DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection [article]

Guang Yang, Juan Cao, Qiang Sheng, Peng Qi, Xirong Li, Jintao Li
2022 arXiv   pre-print
To address the issue, privacy-leaking image detection is studied recently, with the goal to automatically identify images that may leak privacy.  ...  The daily practice of sharing images on social media raises a severe issue about privacy leakage.  ...  The first type of method mainly adopts classification models to identify private images. proposed a privacy-aware classifier based on visual features like face and color histograms.  ... 
arXiv:2203.09121v1 fatcat:c7dc6s3t6vcdlprf23gn4qurzi

Survey on Privacy Policy Specification System for User Uploaded Images Over Popular Content Sharing Sites

Miss. Minal R Hirulkar
2017 International Journal for Research in Applied Science and Engineering Technology  
We propose a two-level image classification framework to obtain image categories which may be associated with similar policies.  ...  This problem can be proposed by using an Privacy Policy Prediction system to help users compose privacy settings for their shared images.  ...  For example, a privacy adverse person may be willing to share all his personal images while a more conservative person may just want to share personal images with his family members.  ... 
doi:10.22214/ijraset.2017.2070 fatcat:a3uhplpq4jbftkx34x4f5ds3ca

Privacy Aware Offloading of Deep Neural Networks [article]

Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2018 arXiv   pre-print
Offloading the computations to the cloud can circumvent these constraints but introduces a privacy risk since the operator of the cloud is not necessarily trustworthy.  ...  The obfuscated data is unintelligible for a human eavesdropper but can still be classified with a high accuracy by a neural network trained on unobfuscated images.  ...  Recent security breaches such as the leak of personal images stored in Apple iCloud or the abuse of personal data shared on Facebook for political goals have raised public awareness of privacy and security  ... 
arXiv:1805.12024v1 fatcat:s4hjttivubefxbpd3vxltr2s6u


2017 International Journal of Recent Trends in Engineering and Research  
We provide enhancement in the privacy of the image data by applying layer of encryption over the data using data hiding technique in which we add identity bits to the image data before it is passed to  ...  In this paper, we propose a system that enhances privacy protection of image data as well as the safe watermark extraction in a simultaneous manner by using sparse sampling, data hiding and secure computation  ...  Zerr explores privacy aware image classification using a mixed set of features, both content and meta-data.  ... 
doi:10.23883/ijrter.2017.3034.qc1lb fatcat:wvjlwxcnmncwhmipgfm3sy3qfq

Privacy Policy Images on Content Sharing Sites

Nikita Kamble, Prasad Kamble, Prof. S. P. Godse
2019 IJARCCE  
Privacy of personal images is important for user acceptance. The media offer attractive means for interaction and communication, but also raise privacy and security concerns.  ...  We analyze the impact of privacy concerns on image.  ...  Despite achieving high performance, the admin noticed differences in user behaviors and concluded that personalized privacy models, were among the first to consider the problem of privacy-aware image classification  ... 
doi:10.17148/ijarcce.2019.8513 fatcat:cqlwbmxnlzcphbt5u7dexe727e

A Group-Based Personalized Model for Image Privacy Classification and Labeling

Haoti Zhong, Anna Squicciarini, David Miller, Cornelia Caragea
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
We propose a Group-Based Personalized Model for image privacy classification in online social media sites, which learns a set of archetypical privacy models (groups), and associates a given user with one  ...  Our system can be used to provide accurate "early warnings" with respect to a user's privacy awareness level.  ...  We propose a stochastic Group-Based Personalized Model (GBPM) for image privacy classification in online social media sites.  ... 
doi:10.24963/ijcai.2017/552 dblp:conf/ijcai/ZhongS0C17 fatcat:qafh52qw5rbdllih3kaxizjiou
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