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Privacy-Preserving Photo Sharing based on a Secure JPEG

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Image Privacy Protection with Secure JPEG Transmorphing

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Thanks to advancements in smart mobile devices and social media platforms, sharing photos and experiences has significantly bridged our lives, allowing us to stay connected despite distance and other barriers. However, concern on privacy has also been rais ...

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Photo privacy has raised a growing concern with the advancements of image analytics, face recognition, and deep learning techniques widely applied on social media. If properly deployed, these powerful techniques can in turn assist people in enhancing their ...

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Privacy has recently gained an importance beyond the field of cryptography. In that regard, the main goal behind this thesis is to enhance privacy protection. All of the necessary mathematical and cryptographic preliminaries are introduced at the start of ...

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JPEG Privacy and Security framework for social networking and GLAM services

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Current image coding standards provide limited support for privacy and security features. An exception is the JPSEC standard, which defines security extensions in JPEG 2000 specifications (part 8). Notwithstanding this shortcoming, the JPEG committee is cu ...

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Secure JPEG Scrambling enabling Privacy in Photo Sharing

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With the popularization of online social networks (OSNs) and smart mobile devices, photo sharing is becoming a part of people’ daily life. An unprecedented number of photos are being uploaded and shared everyday through online social networks or photo host ...

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Impact of Mini-drone based Video Surveillance on Invasion of Privacy

Touradj Ebrahimi, Margherita Bonetto

An increase in adoption of video surveillance, affecting many aspects of daily lives, raises public concern about an intrusion into individual privacy. New sensing and surveillance technologies, such as mini-drones, threaten to eradicate boundaries of priv ...

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Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms

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Location check-ins contain both geographical and semantic information about the visited venues, in the form of tags (e.g., “restaurant”). Such data might reveal some personal information about users beyond what they actually want to disclose, hence their p ...

2015