Secure Protocols for Best Arm Identification in Federated Stochastic Multi-Armed Bandits

Autor: Radu Ciucanu, Anatole Delabrouille, Pascal Lafourcade, Marta Soare

Publikováno v: IEEE Transactions on Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing, 2022, ⟨10.1109/TDSC.2022.3154585⟩

International audience; The stochastic multi-armed bandit is a classical reinforcement learning model, where a learning agent sequentially chooses an action (pull a bandit arm) and the environment responds with a stochastic reward drawn from an unkno

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54a9f1007caa9a58fee86b0467cd3cd3
https://inria.hal.science/hal-03595189

DashBot: An ML-Guided Dashboard Generation System

Autor: Marta Soare, Radu Ciucanu, Sihem Amer-Yahia, Sandrine Da Col, Nassim Bouarour

Publikováno v: ACM International Conference on Information and Knowledge Management (CIKM)-Demo track. Accepté, à paraître
ACM International Conference on Information and Knowledge Management (CIKM)-Demo track. Accepté, à paraître, Nov 2021, Online, Australia
CIKM
Proceedings of the 30th ACM International Conference on Information & Knowledge Management

International audience; Data summarization provides a bird's eye view of data and groupby queries have been the method of choice for data summarization. Such queries provide the ability to group by some attributes and aggregate by others, and their r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e985cccb62262e82dcaf81991bfb9dc
https://hal.inria.fr/hal-03320843

Demonstration of GOOSE: A Secure Framework for Graph Outsourcing and SPARQL Evaluation

Autor: Radu Ciucanu, pascal lafourcade

Publikováno v: International Semantic Web Conference (ISWC)-Demo Track
International Semantic Web Conference (ISWC)-Demo Track, Nov 2020, Conférence online, Greece
HAL

International audience; We demonstrate GOOSE, an open-source framework for secure graph outsourcing and SPARQL evaluation. We showcase the workflow of GOOSE over various real-world use cases, the scalability of GOOSE, and the security properties that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::165c6002b26cfd2909ec9bd237297c30
https://inria.hal.science/hal-02942717

Secure Best Arm Identification in Multi-Armed Bandits

Autor: Pascal Lafourcade, Marius Lombard-Platet, Marta Soare, Radu Ciucanu

Publikováno v: ISPEC 2019 : The 15th International Conference on Information Security Practice and Experience
ISPEC 2019 : The 15th International Conference on Information Security Practice and Experience, Nov 2019, Kuala Lumpur, Malaysia. ⟨10.1007/978-3-030-34339-2_9⟩
Information Security Practice and Experience ISBN: 9783030343385
ISPEC

International audience; The stochastic multi-armed bandit is a classical decision making model, where an agent repeatedly chooses an action (pull a bandit arm) and the environment responds with a stochastic outcome (reward) coming from an unknown dis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bc8ef4270a95956502067eff85a73ba
https://hal.science/hal-02270418

Secure Grouping and Aggregation with MapReduce

Autor: Pascal Lafourcade, Matthieu Giraud, Radu Ciucanu, Lihua Ye

Publikováno v: 15th International Conference on Information Security and Cryptography, SECRYPT'18
15th International Conference on Information Security and Cryptography, SECRYPT'18, Jul 2018, Porto, Portugal. pp.514--521
HAL
ICETE (2)

International audience; MapReduce programming paradigm allows to process big data sets in parallel on a large cluster. We focus on a scenario where the data owner outsources her data on an honest-but-curious server. Our aim is to evaluate grouping an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e2d7e9e0b8ba4b9caf1a9a0ceeacb30
https://hal.archives-ouvertes.fr/hal-01874859/file/CGLY18.pdf