Conference
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Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet and Mohamed Siala. Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists. CPAIOR: 103-119 (2022).
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Héber Hwang Arcolezi, Jean-François Couchot, Sébastien Gambs, Catuscia Palamidessi and Majid Zolfaghari. Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python. ESORICS (3): 770-775 (2022).
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Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Calanda Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs and Nicolas Papernot. Washing The Unwashable : On The (Im)possibility of Fairwashing Detection. NeurIPS (2022).
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Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs and Satoshi Hara. Characterizing the risk of fairwashing. Accepted for publication at NeurIPS (2021).
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Sébastien Gambs, Frédéric Ladouceur, Antoine Laurent and Alexandre Roy-Gaumond. Growing synthetic data through differentially-private vine copulas. Proceedings on Privacy Enhancing Technologies (PETS 2021). 2021(3): pp. 122-141.
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Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet and Mohamed Siala. FairCORELS, an open-source library for learning fair rule lists (demonstration paper). Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM 2021), pp. 4665-4669.
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Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan and Rosin Claude Ngueveu. DySan: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks. Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security (AsiaCCS 2021) : 672-686.
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Antoine Boutet and Sébastien Gambs. Inspect what your location history reveals about you: Raising user awareness on privacy threats associated with disclosing his location data (demonstration paper). Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), pp. 2861-2864.
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Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara and Alain Tapp. Fairwashing: the risk of rationalization. Accepted for publication at the International Conference on Machine Learning (ICML) 2019.
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Sébastien Gambs. Privacy and ethical challenges in Big Data (invited). Proceedings of the 11th International Symposium on Foundations and Practice of Security (FPS 2018), pp. 17-26.
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Sébastien Gambs, Julien Lolive and Jean-Marc Robert. Entwining Sanitization and Personalization on Databases. Proceedings of the 2018 on Asia Conference on Computer and Communications Security (AsiaCCS 2018), pp 207-219.
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Gildas Avoine, Xavier Bultel, Sébastien Gambs, David Gérault, Pascal Lafourcade, Cristina Onete, Jean-Marc Robert: A Terrorist-fraud Resistant and Extractor-free Anonymous Distance-bounding Protocol. Proceedings of the 2017 on Asia Conference on Computer and Communications Security (AsiaCCS 2017), pp. 800-814.
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Brunet Solenn, Canard Sébastien, Gambs Sébastien and Olivier Baptiste. Novel differentially private mechanisms for graphs. Proceedings of the 14th Annual Conference on Privacy, Security and Trust (PST’16), Auckland, New-Zealand, December 2016.
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Esma Aïmeur, Sébastien Gambs and Cheu Yien Yep. An empirical study on GSN usage intention: Factors influencing the adoption of geo-social networks. Proceeding of the 11th International Conference on Availability, Reliability and Security (ARES 2016), pp. 241-246.
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Xavier Bultel, Sébastien Gambs, David Gerault, Pascal Lafourcade, Cristina Onete and Jean-Marc Robert. A prover-anonymous and terrorist-fraud resistant distance-bounding protocol. Proceedings of the 9th ACM Conference on Security and Privacy in Wireless and Mobile Networks WISEC 2016), pp. 121-133.
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Amira Barki, Solenn Brunet, Nicolas Desmoulins, Sébastien Gambs, Saïd Gharout and Jacques Traoré. Private eCash in practice (short paper). Proceedings of the 20th International Conference on Financial Cryptography and Data Security (FC 2016), pp. 99-109.