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Related publications (25)

EOS: Efficient Private Delegation of zkSNARK Provers

Succinct zero knowledge proofs (i.e. zkSNARKs) are powerful cryptographic tools that enable a prover to convince a verifier that a given statement is true without revealing any additional information. Their attractive privacy properties have led to much ac ...

Usenix Assoc2023

Automated post-earthquake damage assessment of stone masonry buildings integrating machine learning, computer vision, and physics-based modeling

Bryan German Pantoja Rosero

Current post-earthquake damage assessment methodologies are not only time-consuming but also subjective in nature and difficult to document. Recent advancements in artificial intelligence and technological devices make it possible to accomplish this task a ...

EPFL2023

Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets

Nikolaos Geroliminis, Nils Gustav Nilsson, Marko Maljkovic

Due to the ever-increasing popularity of ride-hailing services and the indisputable shift towards alternative fuel vehicles, the intersection of the ride-hailing market and smart electric mobility provides an opportunity to trade different services to achi ...

2023

Attestable Software Versioning for Stateful Confidential Computing

Edouard Bugnion, Charly Nicolas Lucien Castes

Trusted execution environments enable the creation of confidential and attestable enclaves that exclude the platform and service providers from the trusted base. From its initial attestable state, a stateful enclave such as a confidential database can hold ...

2022

Micromechanically inspired investigation of cemented granular materials: part I-from X-ray micro tomography to measurable model variables

Edward Carlo Giorgio Andò

Cemented granular materials are abundant in nature and are often artificially produced. Their macroscopic behaviour is driven by small-scale material processes, which are generally classified as: grain breakage, cement damage and fragment rearrangement. Th ...

SPRINGER HEIDELBERG2022

Analyzing and Protecting Communication Metadata

Ludovic Barman

Most communication systems (e.g., e-mails, instant messengers, VPNs) use encryption to prevent third parties from learning sensitive information. However, encrypted communications protect the contents but often leak metadata: the amount of data sent and th ...

EPFL2021

Trust as a Programming Primitive

Adrien Ghosn

Programming has changed; programming languages have not. Modern software embraced reusable software components, i.e., public libraries, and runs in the cloud, on machines that co-locate applications from various origins. This new programming paradigm leads ...

EPFL2021

Closing Leaks: Routing Against Crosstalk Side-Channel Attacks

Mirjana Stojilovic, Seyedeh Sharareh Mirzargar

This paper presents an extension to PathFinder FPGA routing algorithm, which enables it to deliver FPGA designs free from risks of crosstalk attacks. Crosstalk side-channel attacks are a real threat in large designs assembled from various IPs, where some I ...

2020

Privacy-Aware Digital Mediation Tools for Improving Adolescent Mental Well-being: Application to School Bullying

Denis Gillet, Isabelle Barbara Marie-Hélène Cardia

In human-computer interaction, self-disclosure of sensitive information regarding distressing experiences requires the establishment of a trust channel between the user and the digital tool. As privacy and security have been identified as factors that cont ...

2020

DATASHARENETWORK A Decentralized Privacy-Preserving Search Engine for Investigative Journalists

Carmela González Troncoso, Wouter Lueks, Laurent Girod

Investigative journalists collect large numbers of digital documents during their investigations. These documents can greatly benefit other journalists' work. However, many of these documents contain sensitive information. Hence, possessing such documents ...

USENIX ASSOC2020

HideMyApp: Hiding the Presence of Sensitive Apps on Android

Jean-Pierre Hubaux, Kévin Clément Huguenin, Italo Ivan Dacosta Petrocelli, John Stephan, Thi Van Anh Pham

Millions of users rely on mobile health (mHealth) apps to manage their wellness and medical conditions. Although the popularity of such apps continues to grow, several privacy and security challenges can hinder their potential. In particular, the simple fa ...

Proceedings of the 28th USENIX Security Symposium2019

HideMyApp : Hiding the Presence of Sensitive Apps on Android

Jean-Pierre Hubaux, Kévin Clément Huguenin, Italo Ivan Dacosta Petrocelli, John Stephan, Thi Van Anh Pham

2019

HideMyApp : Hiding the Presence of Sensitive Apps on Android

Jean-Pierre Hubaux, Kévin Clément Huguenin, Italo Ivan Dacosta Petrocelli, John Stephan

USENIX ASSOC2019

SQC: Secure Quality Control for Meta-Analysis of Genome-Wide Association Studies

Jean-Pierre Hubaux, Jacques Fellay, Zhicong Huang, Huang Lin

Motivation: Due to the limited power of small-scale genome-wide association studies (GWAS), researchers tend to collaborate and establish a larger consortium in order to perform large-scale GWAS. Genome-wide association meta-analysis (GWAMA) is a statistic ...

Oxford University Press2017

Assignment Techniques for Crowdsourcing Sensitive Tasks

Laura Elisa Celis

Protecting the privacy of crowd workers has been an important topic in crowdsourcing, however, task privacy has largely been ignored despite the fact that many tasks, e.g., form digitization, live audio transcription or image tagging often contain sensitiv ...

Assoc Computing Machinery2016

Privacy and Security in the Genomic Era

Jean-Pierre Hubaux, Erman Ayday

With the help of rapidly developing technology, DNA sequencing is becoming less expensive. As a consequence, the research in genomics has gained speed in paving the way to personalized (genomic) medicine, and geneticists need large collections of human gen ...

Assoc Computing Machinery2016

Privacy Enhanced Demand Response with Reputation-based Incentive Distribution

Karl Aberer, Matteo Vasirani, Tri Kurniawan Wijaya

Demand response (DR) is a Smart Grid application that aims at managing consumption of electricity in response to supply-side signals. The exchange of sensitive information (i.e., electricity consumption data) between the consumers and the DR provider is ne ...

2014

Population Sensing Using Mobile Devices : a Statistical Opportunity or a Privacy Nightmare?

Farid Movahedi Naini

In our daily lives, our mobile phones sense our movements and interactions via a rich set of embedded sensors such as a GPS, Bluetooth, accelerometers, and microphones. This enables us to use mobile phones as agents for collecting spatio-temporal data. The ...

EPFL2014

Fine-grained disclosure control for app ecosystems

Christoph Koch

The modern computing landscape contains an increasing number of app ecosystems, where users store personal data on platforms such as Facebook or smartphones. APIs enable third-party applications (apps) to utilize that data. A key concern associated with ap ...

ACM Press2013

Detection and Classification of Postural Transitions in Real-World Conditions

Kamiar Aminian, Anisoara Ionescu, Raluca Lidia Ganea

This study proposes a new robust classifier for sit-to-stand (SiSt) and stand-to-sit (StSt) detection in daily activity. The monitoring system consists of a single inertial sensor placed on the trunk. By using dynamic time warping, the trunk acceleration p ...

Institute of Electrical and Electronics Engineers2012