Publications associées à The Architectural Space and the Healing Bed: On the Dimension of Privacy in Hospital Architectures

Publications associées (17)

SAGESSE: A System for Argument Generation, Extraction and Structuring of Social Exchanges

Nicolas Raphaël Michail Almerge, Amin Asadi Sarijalou, Ilker Gül, Matteo Santelmo, Karl Aberer, Rémi Philippe Lebret, Léo Jules Laugier

Online debates provide critical insights into public opinion and societal trends, yet the unstructured nature of these discussions presents significant challenges for analysis. In this paper, we present SAGESSE, a novel argumentation parsing pipeline tailo ...

ACM2025

On the fundamental limits of privacy-enhancing technologies

Theresa Stadler

The advancement of data-driven decision making has become a key priority in political agendas and private sector strategies. However, the growing demand for data and the opacity of data-driven systems raise concerns about the threats to individual privacy ...

EPFL2024

Differentially private multi-agent constraint optimization

Boi Faltings, Sujit Prakash Gujar, Aleksei Triastcyn, Sankarshan Damle

Distributed constraint optimization (DCOP) is a framework in which multiple agents with private constraints (or preferences) cooperate to achieve a common goal optimally. DCOPs are applicable in several multi-agent coordination/allocation problems, such as ...

Springer2024

Bridging the gap between theoretical and practical privacy technologies for at-risk populations

Kasra Edalatnejadkhamene

With the pervasive digitalization of modern life, we benefit from efficient access to information and services. Yet, this digitalization poses severe privacy challenges, especially for special-needs individuals. Beyond being a fundamental human right, priv ...

EPFL2023

An End-to-End Data Pipeline for Managing Learning Analytics

Denis Gillet, Juan Carlos Farah, Sandy Ingram, Joana Catarina Soares Machado

Despite the importance of learning analytics in digital education, there is limited support for researchers in education to generate, access, and share experimental data while complying with ethical and privacy legislation. We propose a set of related tool ...

2021

Graph-Homomorphic Perturbations For Private Decentralized Learning

Ali H. Sayed, Stefan Vlaski

Decentralized algorithms for stochastic optimization and learning rely on the diffusion of information through repeated local exchanges of intermediate estimates. Such structures are particularly appealing in situations where agents may be hesitant to shar ...

IEEE2021

Locally Private Graph Neural Networks

Daniel Gatica-Perez

Graph Neural Networks (GNNs) have demonstrated superior performance in learning node representations for various graph inference tasks. However, learning over graph data can raise privacy concerns when nodes represent people or human-related variables that ...

ASSOC COMPUTING MACHINERY2021

SCOR: A secure international informatics infrastructure to investigate COVID-19

Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Francesco Marino

Global pandemics call for large and diverse healthcare data to study various risk factors, treatment options, and disease progression patterns. Despite the enormous efforts of many large data consortium initiatives, scientific community still lacks a secur ...

OXFORD UNIV PRESS2020

MedChain: Accountable and Auditable Data Sharing in Distributed Medical Scenarios

Jean-Pierre Hubaux, Bryan Alexander Ford, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro, Linus Gasser

The current trend towards personalized medicine creates an urgent need to share data among different hospitals and health institutions, which endangers the privacy of the data subjects if not done with the appropriate precautions. Conversely, the frequency ...

2019

Privacy-Preserving Photo Sharing based on a Public Key Infrastructure

Touradj Ebrahimi, Lin Yuan, David Mc Nally

A significant number of pictures are posted to social media sites or exchanged through instant messaging and cloud-based sharing services. Most social media services offer a range of access control mechanisms to protect users privacy. As it is not in the b ...

Spie-Int Soc Optical Engineering2015

On Multi-Dimensional Privacy in Context-Aware Mobile Networks

Igor Bilogrevic

By the end of 2013, the number of internet-connected mobile devices is expected to exceed that of humans. Omnipresent and context-aware, mobile devices enable people to communicate and exchange data anytime and almost anywhere. The myriad of ”digital footp ...

EPFL2014

Privacy-Preserving Optimal Meeting Location Determination on Mobile Devices

Jean-Pierre Hubaux, Murtuza Jadliwala, Imad Aad, Igor Bilogrevic

Equipped with state-of-the-art smartphones and mobile devices, today's highly interconnected urban population is increasingly dependent on these gadgets to organize and plan their daily lives. These applications often rely on current (or preferred) locatio ...

Ieee-Inst Electrical Electronics Engineers Inc2014

A Location-Privacy Threat Stemming from the Use of Shared Public IP Addresses

Jean-Pierre Hubaux, Kévin Clément Huguenin, Nevena Vratonjic, Vincent Bindschaedler

This paper presents a concrete and widespread example of situation where a user’s location privacy is unintentionally compromised by others, specifically the location-privacy threat that exists at access points (public hotspots, FON, home routers, etc.) th ...

Ieee Computer Soc2014

Protecting Privacy through Distributed Computation in Multi-agent Decision Making

Boi Faltings, Thomas Léauté

As large-scale theft of data from corporate servers is becoming increasingly common, it becomes interesting to examine alternatives to the paradigm of centralizing sensitive data into large databases. Instead, one could use cryptography and distributed com ...

AI Access Foundation2013

Big Brother Knows Your Friends: on Privacy of Social Communities in Pervasive Networks

Jean-Pierre Hubaux, Murtuza Jadliwala, Igor Bilogrevic, Imad Aad, Laurent Bindschaedler

Wireless network operators increasingly deploy WiFi hotspots and low-power, low-range base stations in order to satisfy users' growing demands for context-aware services and performance. In addition to providing better service, such capillary infrastructur ...

2012

On Privacy Models for RFID

Serge Vaudenay

We provide a formal model for identification schemes. Under this model, we give strong definitions for security and privacy. Our model captures the notion of a powerful adversary who can monitor all communications, trace tags within a limited period of tim ...

Springer-Verlag2007

A Scalable and Provably Secure Hash-Based RFID Protocol

Gildas Avoine, Philippe Oechslin

The biggest challenge for RFID technology is to provide benefits without threatening the privacy of consumers. Many solutions have been suggested but almost as many ways have been found to break them. An approach by Ohkubo, Suzuki and Kinoshita using an in ...

2005