Publication

Privacy-Preserving Photo Sharing based on a Secure JPEG

Related publications (50)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Image Privacy Protection with Secure JPEG Transmorphing

Touradj Ebrahimi, Lin Yuan

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 ...

Inst Engineering Technology-Iet2017

Context-Dependent Privacy-Aware Photo Sharing based on Machine Learning

Touradj Ebrahimi, Lin Yuan, Joël Régis Theytaz

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 ...

2017

Enhancing Privacy Protection

Rafik Chaabouni

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 ...

EPFL2017

JPEG Privacy and Security framework for social networking and GLAM services

Touradj Ebrahimi

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 ...

Springer International Publishing Ag2017

Context and Semantic Aware Location Privacy

Berker Agir

With ever-increasing computational power, and improved sensing and communication capabilities, smart devices have altered and enhanced the way we process, perceive and interact with information. Personal and contextual data is tracked and stored extensivel ...

EPFL2016

The Ends of The Internet

Boris Beaude

The Ends of the Internet is an investigation into all the reasons why the Internet, which has been with us for over thirty years, is now on the verge of disappearing. Originally conceived as a space of freedom, the Internet has become the world’s largest p ...

Institute of Network Cultures2016

A Heuristic Algorithm for Mobility-aware Location Obfuscation

Karl Aberer, Iris Safaka, Berker Agir, Malik Beytrison

Mobile users not only use on-demand location-based services increasingly (e.g., checking in on online social networks), but also other mobile applications that provide a service based on location traces of users (e.g., fitness tracking, health monitoring, ...

2016

Secure JPEG Scrambling enabling Privacy in Photo Sharing

Touradj Ebrahimi, Lin Yuan

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 ...

2015

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 ...

2015

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

Jean-Pierre Hubaux, Kévin Clément Huguenin, Igor Bilogrevic, Reza Shokri, Stefan Mihaila

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