Recent Publications

. Graph sketching-based Space-efficient Data Clustering. In: SIAM International Conference on Data Mining (SDM), pp. 10–18, 2018.

. Graph-based Clustering under Differential Privacy. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2018.

. Privacy-preserving tax calculations in smart cities by means of Inner-Product Functional Encryption. In: Proceedings of the 2nd IEEE Cyber Security In Networking Conference, 2018.

. Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2421-2425, 2018.

. Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations. In: Signal Processing, (130), pp. 389–402, 2017.

. Structured adaptive and random spinners for fast machine learning computations. In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, pp. 1020–1029, 2017.

. WHODID: Web-Based Interface for Human-Assisted Factory Operations in Fault Detection, Identification and Diagnosis. In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III, pp. 437–441, 2017.

. Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series. In: IEEE Transactions on Signal Processing, (64), 16, pp. 4351-4362, https://doi.org/10.1109/TSP.2016.2566609, 2016.

Job offers

3-year Ph.D. -- robustness and privacy of graph neural networks

Graph Neural Networks, Adversarial attacks, Graph classification, Robustness, Randomized algorithms, Functional encryption

R&D engineer -- 18 months

Contribute to the streamOps project (funded by DataIA) to work on a modular and efficient streaming platform, designed with cutting-edge machine algorithms in mind!

M2 intership -- robustness of graph neural networks

Towards randomized algorithms for preserving robustness of graph classification networks against adversarial attacks

Ongoing Projects

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Projet StreamOps - institut DataIA

Plateforme Open Source pour la Recherche et l’Intégration d’Algorithmes pour l’Analyse de Flux de Séries Temporelles Massives

Smart City Energy Analytics

Multi partners IRT SystemX project on smart cities.

Sketching for Machine Learning

Anne Morvan’s PhD thesis.

Teaching

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Large Graphs Mining

2018-2019 course at Telecom SudParis (3rd year eng.).

Contact