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Concept

Privacy settings

Related publications (9)

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

Touradj Ebrahimi, Lin Yuan, Xiao Pu

The advancement of face recognition technology has delivered substantial societal advantages. However, it has also raised global privacy concerns due to the ubiquitous collection and potential misuse of individuals' facial data. This presents a notable par ...

Ieee-Inst Electrical Electronics Engineers Inc2024

A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings

Jean-Marc Odobez, Anshul Gupta, Samy Tafasca

Predicting where a person is looking is a complex task, requiring to understand not only the person's gaze and scene content, but also the 3D scene structure and the person's situation (are they manipulating? interacting or observing others? attentive?) to ...

IEEE2022

SmarPer: Context-Aware and Automatic Runtime-Permissions for Mobile Devices

Jean-Pierre Hubaux, Kévin Clément Huguenin, Mohammad Emtiyaz Khan, Italo Ivan Dacosta Petrocelli, Joana Catarina Soares Machado, Katarzyna Lucja Olejnik

Permission systems are the main defense that mobile platforms, such as Android and iOS, offer to users to protect their private data from prying apps. However, due to the tension between usability and control, such systems have several limitations that oft ...

IEEE2017

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

PriBots: Conversational Privacy with Chatbots

Karl Aberer, Hamza Harkous

Traditional mechanisms for delivering notice and enabling choice have so far failed to protect users’ privacy. Users are continuously frustrated by complex privacy policies, unreachable privacy settings, and a multitude of emerging standards. The miniaturi ...

2016

When Others Impinge upon Your Privacy : Interdependent Risks and Protection in a Connected World

Mathias Jacques Jean-Marc Humbert

Privacy is defined as the right to control, edit, manage, and delete information about oneself and decide when, how, and to what extent this information is communicated to others. Therefore, every person should ideally be empowered to manage and protect hi ...

EPFL2015

Trust-aware Privacy Control for Social Media

Denis Gillet, Na Li, Maryam Najafian-Razavi

Due to the huge exposure of personal information in social media, a challenge now is to design effective privacy mechanisms that protect against unauthorized access to social data. In this paper, a trust model for social media is first presented. Based on ...

2011

Collaborative Location Privacy

Jean-Pierre Hubaux, Panagiotis Papadimitratos, Reza Shokri

Location-aware smart phones support various location-based services (LBSs): users query the LBS server and learn on the fly about their surroundings. However, such queries give away private information, enabling the LBS to identify and track users. We addr ...

2011

Fuzzy Trust Aggregation And Personalized Trust Inference In Virtual Social Networks

Virtual marketplaces on the Web provide people with great facilities to buy and sell goods similar to conventional markets. In traditional business, reputation is subjectively built for known persons and companies as the deals are made in the course of tim ...

2009