Cédric Gouy-Pailler

51 papers A* 1A 4B 4C 2Misc 5Journal 25Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Standardized and Usage-Controlled Alert Analysis for Improved Cyber Threat Intelligence. ACNS Workshops (3) Hendrik Meyer zum Felde, Radhouene Azzabi, Cédric Gouy-Pailler, Gilles Lehmann, Amaia Gil
2024	J	`jnl`	Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation. CoRR Eduardo Fernandes Montesuma, Fabiola Espinoza Castellon, Fred Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler
2024	Misc	`conf`	Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation. ICASSP Fabiola Espinoza Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler
2023	—	`conf`	A Probabilistic Design for Practical Homomorphic Majority Voting with Intrinsic Differential Privacy. WAHC@CCS Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler
2023	C	`conf`	Combining homomorphic encryption and differential privacy in federated learning. PST Arnaud Grivet Sébert, Marina Checri, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler
2023	—	`conf`	FUBA: Federated Uncovering of Backdoor Attacks for Heterogeneous Data. TPS-ISA Fabiola Espinoza Castellon, Deepika Singh, Aurélien Mayoue, Cédric Gouy-Pailler
2023	J	`jnl`	Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation. CoRR Fabiola Espinosa Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler
2023	J	`jnl`	When approximate design for fast homomorphic computation provides differential privacy guarantees. CoRR Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler
2022	B	`conf`	Federated learning with incremental clustering for heterogeneous data. IJCNN Fabiola Espinoza Castellon, Aurélien Mayoue, Jacques-Henri Sublemontier, Cédric Gouy-Pailler
2022	J	`jnl`	Federated learning with incremental clustering for heterogeneous data. CoRR Fabiola Espinoza Castellon, Aurélien Mayoue, Jacques-Henri Sublemontier, Cédric Gouy-Pailler
2022	J	`jnl`	On the robustness of randomized classifiers to adversarial examples. Mach. Learn. Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
2022	J	`jnl`	Protecting Data from all Parties: Combining FHE and DP in Federated Learning. CoRR Arnaud Grivet Sébert, Renaud Sirdey, Oana Stan, Cédric Gouy-Pailler
2022	J	`jnl`	Putting up the swiss army knife of homomorphic calculations by means of TFHE functional bootstrapping. IACR Cryptol. ePrint Arch. Pierre-Emmanuel Clet, Martin Zuber, Aymen Boudguiga, Renaud Sirdey, Cédric Gouy-Pailler
2022	C	`conf`	SecTL: Secure and Verifiable Transfer Learning-based inference. ICISSP Abbass Madi, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler
2021	J	`jnl`	On the robustness of randomized classifiers to adversarial examples. CoRR Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
2021	J	`jnl`	SPEED: secure, PrivatE, and efficient deep learning. Mach. Learn. Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey
2020	B	`conf`	Detecting Anomalies from Streaming Time Series using Matrix Profile and Shapelets Learning. ICTAI Mohammad AlShaer, Sandra Garcia-Rodriguez, Cédric Gouy-Pailler
2020	J	`jnl`	SPEED: Secure, PrivatE, and Efficient Deep learning. CoRR Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey
2020	A	`conf`	STREAMER: A Powerful Framework for Continuous Learning in Data Streams. CIKM Sandra Garcia-Rodriguez, Mohammad AlShaer, Cédric Gouy-Pailler
2019	J	`jnl`	A unified view on differential privacy and robustness to adversarial examples. CoRR Rafael Pinot, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2019	A*	`conf`	Theoretical evidence for adversarial robustness through randomization. NeurIPS Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2019	J	`jnl`	Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. CoRR Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2018	A	`conf`	Graph sketching-based Space-efficient Data Clustering. SDM Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
2018	A	`conf`	Graph-based Clustering under Differential Privacy. UAI Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2018	J	`jnl`	Graph-based Clustering under Differential Privacy. CoRR Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2018	J	`jnl`	On the Needs for Rotations in Hypercubic Quantization Hashing. CoRR Anne Morvan, Antoine Souloumiac, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
2018	—	`conf`	Privacy-Preserving Tax Calculations in Smart Cities by Means of Inner-Product Functional Encryption. CSNet Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler, Pierre Blanchart, Amira Ben Hamida, Mohamed-Haykel Zayani
2018	Misc	`conf`	Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization. ICASSP Anne Morvan, Antoine Souloumiac, Cédric Gouy-Pailler, Jamal Atif
2017	J	`jnl`	Graph sketching-based Massive Data Clustering. CoRR Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
2017	J	`jnl`	Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations. Signal Process. Yoann Isaac, Quentin Barthélemy, Cédric Gouy-Pailler, Michèle Sebag, Jamal Atif
2017	J	`jnl`	Streaming Binary Sketching based on Subspace Tracking and Diagonal Uniformization. CoRR Anne Morvan, Antoine Souloumiac, Cédric Gouy-Pailler, Jamal Atif
2017	A	`conf`	Structured adaptive and random spinners for fast machine learning computations. AISTATS Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif
2017	—	`conf`	WHODID: Web-Based Interface for Human-Assisted Factory Operations in Fault Detection, Identification and Diagnosis. ECML/PKDD (3) Pierre Blanchart, Cédric Gouy-Pailler
2016	J	`jnl`	Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series. IEEE Trans. Signal Process. Flore Harle, Florent Chatelain, Cédric Gouy-Pailler, Sophie Achard
2016	J	`jnl`	Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations. CoRR Yoann Isaac, Quentin Barthélemy, Cédric Gouy-Pailler, Michèle Sebag, Jamal Atif
2016	J	`jnl`	Structured adaptive and random spinners for fast machine learning computations. CoRR Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif
2016	J	`jnl`	TripleSpin - a generic compact paradigm for fast machine learning computations. CoRR Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Tamás Sarlós, Jamal Atif
2014	—	`conf`	Rank-based multiple change-point detection in multivariate time series. EUSIPCO Flore Harle, Florent Chatelain, Cédric Gouy-Pailler, Sophie Achard
2013	Misc	`conf`	Backward hidden Markov chain for outlier-robust filtering and fixed-interval smoothing. ICASSP Boujemaa Ait-El-Fquih, Cédric Gouy-Pailler
2013	J	`jnl`	Multi-dimensional sparse structured signal approximation using split Bregman iterations CoRR Yoann Isaac, Quentin Barthélemy, Jamal Atif, Cédric Gouy-Pailler, Michèle Sebag
2013	Misc	`conf`	Multi-dimensional sparse structured signal approximation using split bregman iterations. ICASSP Yoann Isaac, Quentin Barthélemy, Jamal Atif, Cédric Gouy-Pailler, Michèle Sebag
2013	Misc	`conf`	Multi-scale test procedure for non-stationarity in short and long memory time series. ICASSP Olaf Kouamo, Cédric Gouy-Pailler
2013	J	`jnl`	Multivariate Temporal Dictionary Learning for EEG CoRR Quentin Barthélemy, Cédric Gouy-Pailler, Yoann Isaac, Antoine Souloumiac, Anthony Larue, Jérôme I. Mars
2012	B	`conf`	From neuronal cost-based metrics towards sparse coded signals classification. ESANN Anthony Mouraud, Quentin Barthélemy, Aurélien Mayoue, Cédric Gouy-Pailler, Anthony Larue, Hélène Paugam-Moisy
2011	J	`jnl`	Single trial variability in brain-computer interfaces based on motor imagery: Learning in the presence of labeling noise. Int. J. Imaging Syst. Technol. Cédric Gouy-Pailler, Michèle Sebag, Anthony Larue, Antoine Souloumiac
2010	J	`jnl`	Nonstationary Brain Source Separation for Multiclass Motor Imagery. IEEE Trans. Biomed. Eng. Cédric Gouy-Pailler, Marco Congedo, Clemens Brunner, Christian Jutten, Gert Pfurtscheller
2009	—	`conf`	Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings. ICA Cédric Gouy-Pailler, Reza Sameni, Marco Congedo, Christian Jutten
2009	B	`conf`	Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics. ESANN Cédric Gouy-Pailler, Jérémie Mattout, Marco Congedo, Christian Jutten
2009	—	`—`	Vers une modélisation dynamique de l'activité cérébrale pour la conception d'interfaces cerveau-machines asynchrones. (Toward dynamical models of brain activity for the design of brain-computer interfaces). Cédric Gouy-Pailler
2008	—	`conf`	Model-based source separation for multi-class motor imagery. EUSIPCO Cédric Gouy-Pailler, Marco Congedo, Christian Jutten, Clemens Brunner, Gert Pfurtscheller
2007	—	`conf`	A Haptic Based Interface to Ease Visually Impaired Pupils' Inclusion in Geometry Lessons. HCI (7) Cédric Gouy-Pailler, Sophie Zijp-Rouzier, Sylvie Vidal, Denis Chêne