Jordan Fréry - RankMe

19 papers A 1B 2Journal 7Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption. CoRR Jordan Fréry, Roman Bredehoft, Jakub Klemsa, Arthur Meyre, Andrei Stoian
2024	—	`conf`	Machine Learning Training on Encrypted Data with TFHE. IWSPA@CODASPY Luis Montero, Jordan Fréry, Celia Kherfallah, Roman Bredehoft, Andrei Stoian
2024	J	`jnl`	Neural Network Training on Encrypted Data with TFHE. CoRR Luis Montero, Jordan Fréry, Celia Kherfallah, Roman Bredehoft, Andrei Stoian
2023	—	`conf`	Deep Neural Networks for Encrypted Inference with TFHE. CSCML Andrei Stoian, Jordan Fréry, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames
2023	J	`jnl`	Deep Neural Networks for Encrypted Inference with TFHE. CoRR Andrei Stoian, Jordan Fréry, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames
2023	J	`jnl`	Deep Neural Networks for Encrypted Inference with TFHE. IACR Cryptol. ePrint Arch. Andrei Stoian, Jordan Fréry, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames
2023	J	`jnl`	Privacy-Preserving Tree-Based Inference with Fully Homomorphic Encryption. CoRR Jordan Fréry, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames, Arthur Meyre
2023	J	`jnl`	Privacy-Preserving Tree-Based Inference with Fully Homomorphic Encryption. IACR Cryptol. ePrint Arch. Jordan Fréry, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames, Arthur Meyre
2023	—	`conf`	Privacy-Preserving Tree-Based Inference with TFHE. MSPN Jordan Fréry, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoît Chevallier-Mames, Arthur Meyre
2020	B	`conf`	Master Your Metrics with Calibration. IDA Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang
2019	—	`—`	Ensemble Learning for Extremely Imbalced Data Flows. (Apprentissage Ensembliste sur des flux de données extrêmement déséquilibrés). Jordan Fréry
2019	J	`jnl`	Master your Metrics with Calibration. CoRR Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang
2018	—	`conf`	Non-Linear Gradient Boosting for Class-Imbalance Learning. LIDTA@ECML/PKDD Jordan Fréry, Amaury Habrard, Marc Sebban, Liyun He-Guelton
2018	B	`conf`	Online Non-linear Gradient Boosting in Multi-latent Spaces. IDA Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton
2017	—	`conf`	Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection. ECML/PKDD (1) Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton
2017	—	`conf`	Modèles de représentation textuels et méthodes d'apprentissage adaptés à l'identification d'auteurs. EDA Christine Largeron, Jordan Fréry, Mihaela Juganaru-Mathieu
2015	A	`conf`	Author identification by automatic learning. ICDAR Jordan Fréry, Christine Largeron, Mihaela Juganaru-Mathieu
2015	—	`conf`	Identification d'auteurs par apprentissage automatique. EGC Jordan Fréry, Christine Largeron, Mihaela Juganaru-Mathieu
2014	—	`conf`	UJM at CLEF in Author Identification Notebook for PAN at CLEF 2014. CLEF (Working Notes) Jordan Fréry, Christine Largeron, Mihaela Juganaru-Mathieu