Search Results - "Gambs, Sebastien"

Quantum speed-up for unsupervised learning by Aïmeur, Esma, Brassard, Gilles, Gambs, Sébastien

“…We show how the quantum paradigm can be used to speed up unsupervised learning algorithms. More precisely, we explain how it is possible to accelerate learning…”
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RSSI-based attacks for identification of BLE devices by Gagnon, Guillaume, Gambs, Sébastien, Cunche, Mathieu

“…To prevent tracking, the Bluetooth Low Energy (BLE) protocol integrates privacy mechanisms such as address randomization. However, as highlighted by previous…”
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Meeting points in ridesharing: A privacy-preserving approach by Aïvodji, Ulrich Matchi, Gambs, Sébastien, Huguet, Marie-José, Killijian, Marc-Olivier

“…•We propose a distributed and privacy preserving approach for ridesharing systems.•It combines multimodal routing algorithms and secure multiparty…”
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Machine-Learning Approach for Automatic Detection of Wild Beluga Whales from Hand-Held Camera Pictures by Araújo, Voncarlos M, Shukla, Ankita, Chion, Clément, Gambs, Sébastien, Michaud, Robert

“…A key aspect of ocean protection consists in estimating the abundance of marine mammal population density within their habitat, which is usually accomplished…”
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De-anonymization attack on geolocated data by Gambs, Sébastien, Killijian, Marc-Olivier, Núñez del Prado Cortez, Miguel

“…With the advent of GPS-equipped devices, a massive amount of location data is being collected, raising the issue of the privacy risks incurred by the…”
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Improving fairness generalization through a sample-robust optimization method by Ferry, Julien, Aïvodji, Ulrich, Gambs, Sébastien, Huguet, Marie-José, Siala, Mohamed

“…Unwanted bias is a major concern in machine learning, raising in particular significant ethical issues when machine learning models are deployed within…”
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Optimal noise functions for location privacy on continuous regions by ElSalamouny, Ehab, Gambs, Sébastien

“…Users of location-based services are highly vulnerable to privacy risks since they need to disclose, at least partially, their locations to benefit from these…”
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Comment: On the privacy-conscientious use of mobile phone data by Gambs, Sebastien, Blondel, Vincent, Canright, Geoffrey, de Cordes, Nicolas, Deletaille, Sebastien, Engo-Monsen, Kenth, Kendall, Jake, Kerry, Cameron, Krings, Gautier, Letouze, Emmanuel, de Montjoye, Yves-Alexandre, Garcia-Herranz, Manuel, Luengo-Oroz, Miguel, Oliver, Nuria, Rocher, Luc, Rutherford, Alex, Wetter, Erik, Smoreda, Zbigniew, Steele, Jessica, Pentland, Alex Sandy, Bengtsson, Linus

“…The breadcrumbs we leave behind when using our mobile phones—who somebody calls, for how long, and from where—contain unprecedented insights about us and our…”
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Membership inference attack for beluga whales discrimination by Araújo, Voncarlos M., Gambs, Sébastien, Michaud, Robert, Lautraite, Hadrien, Schneider, Léo, Chion, Clément

“…To efficiently monitor the growth and evolution of a particular wildlife population, one of the fundamental challenges to address in animal ecology is the…”
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Local Data Debiasing for Fairness Based on Generative Adversarial Training by Aïvodji, Ulrich, Bidet, François, Gambs, Sébastien, Ngueveu, Rosin Claude, Tapp, Alain

“…The widespread use of automated decision processes in many areas of our society raises serious ethical issues with respect to the fairness of the process and…”
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PROPS: A PRivacy-Preserving Location Proof System by Gambs, Sébastien, Killijian, Marc-Olivier, Roy, Matthieu, Traore, Moussa

“…A secure location-based service requires that a mobile user certifies his position before gaining access to a resource. Currently, most of the existing…”
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Towards privacy-driven design of a dynamic carpooling system by Friginal, Jesús, Gambs, Sébastien, Guiochet, Jérémie, Killijian, Marc-Olivier

“…Dynamic carpooling (also known as instant or ad-hoc ridesharing) is a service that arranges one-time shared rides on very short notice. This type of carpooling…”
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Privacy-preserving boosting by Gambs, Sébastien, Kégl, Balázs, Aïmeur, Esma

“…We describe two algorithms, BiBoost (Bipartite Boosting) and MultBoost (Multiparty Boosting), that allow two or more participants to construct a boosting…”
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Heterogeneous Differential Privacy by Alaggan, Mohammad, Gambs, Sébastien, Kermarrec, Anne-Marie

“…The massive collection of personal data by personalization systems has rendered the preservation of privacy of individuals more and more difficult. Most of the…”
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Leveraging In-Network Computing for Privacy-Aware Real-Time Surveillance mHealth Applications by Rajhi, Syrine, Elbiaze, Halima, Gambs, Sebastien, Glitho, Roch

“…The Internet of Things has become highly popular in the healthcare sector due to its benefits for patients, doctors and health authorities. In particular, the…”
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Exploiting Fairness to Enhance Sensitive Attributes Reconstruction by Ferry, Julien, Aivodji, Ulrich, Gambs, Sebastien, Huguet, Marie-Jose, Siala, Mohamed

“…In recent years, a growing body of work has emerged on how to learn machine learning models under fairness constraints, often expressed with respect to some…”
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A Privacy-Preserving NFC Mobile Pass for Transport Systems by Arfaoui, Ghada, Dabosville, Guillaume, Gambs, Sébastien, Lacharme, Patrick, Lalande, Jean-François

“…The emergence of the NFC (Near Field Communication) technology brings new capacities to the next generation of smartphones, but also new security and privacy…”
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Probabilistic Dataset Reconstruction from Interpretable Models by Ferry, Julien, Aivodji, Ulrich, Gambs, Sebastien, Huguet, Marie-Jose, Siala, Mohamed

“…Interpretability is often pointed out as a key requirement for trustworthy machine learning. However, learning and releasing models that are inherently…”
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[~Re]Simulating socioeconomic-based affirmative action by Allard, Tristan, Béziaud, Louis, Gambs, Sébastien

“…Replication…”
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IOTFLA : A Secured and Privacy-Preserving Smart Home Architecture Implementing Federated Learning by Aivodji, Ulrich Matchi, Gambs, Sebastien, Martin, Alexandre

“…Slowly but steadily, the Internet of Things (IoT) is becoming more and more ubiquitous in our daily life. However, it also brings important security and…”
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