Project-Team:PRIVATICS

Project-Team Privatics

Team, Visitors, External Collaborators

Overall Objectives

Context

Application Domains

Highlights of the Year

New Software and Platforms

New Results

Differential Inference Testing
Analyse des impacts de la reconnaissance faciale - Quelques éléments de méthode (in French)
Towards a generic framework for black-box explanation methods
A generic information and consent framework for the IoT
Analysis of privacy policies to enhance informed consent
Understanding algorithmic decision-making: Opportunities and challenges, Study for the European Parliament (STOA)
Saving Private Addresses: An Analysis of Privacy Issues in the Bluetooth-Low-Energy Advertising Mechanism
Fingerprinting Bluetooth-Low-Energy Devices Based on the Generic Attribute Profile
Privacy implications of switching ON a light bulb in the IoT world
Security Analysis of Subject Access Request Procedures How to authenticate data subjects safely when they request for their data
Plausible Deniability for Practical Privacy-Preserving Live Streaming
Protecting motion sensor data against sensitive inferences through an adversarial network approach
Inria white book on Cybersecurity: Current challenges and Inria's research directions
Inspect what your location history reveals about you - Raising user awareness on privacy threats associated with disclosing his location data
Pseudonymisation techniques and best practices

Partnerships and Cooperations

Dissemination

Bibliography

Publications of the year

Inria | Raweb 2019 | Presentation of the Project-Team PRIVATICS | PRIVATICS Web Site


	PDF	e-Pub

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Section: Highlights of the Year

Highlights of the Year

PRIVATICS members have written several position documents for policy makers: a report on facial recognition, algorithmic decision-making, pseudonymisation and a white book on cybersecurity.

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