CLARISSE: A Machine Learning Tool to Initialize Student Models. - Esma Aïmeur; Gilles Brassard; Hugo Dufort; Sébastien Gambs (Intelligent Tutoring Systems, 2002)

Machine Learning in a Quantum World. - Esma Aïmeur; Gilles Brassard; Sébastien Gambs (Canadian AI, 2006)

Anonymous Quantum Communication. - Gilles Brassard; Anne Broadbent; Joseph F. Fitzsimons; Sébastien Gambs; Alain Tapp (ASIACRYPT, 2007)

Anonymous Quantum Communication - (Extended Abstract). - Gilles Brassard; Anne Broadbent; Joseph F. Fitzsimons; Sébastien Gambs; Alain Tapp (ICITS, 2007)

Quantum clustering algorithms. - Esma Aïmeur; Gilles Brassard; Sébastien Gambs (ICML, 2007)

Privacy-preserving boosting. - Sébastien Gambs; Balázs Kégl; Esma Aïmeur (Data Min. Knowl. Discov., 2007)

Quantum classification - Sébastien Gambs (CoRR, 2008)

Towards a Privacy-Preserving National Identity Card. - Yves Deswarte; Sébastien Gambs (DPM/SETOP, 2009)

UPP: User Privacy Policy for Social Networking Sites. - Esma Aïmeur; Sébastien Gambs; Ai Ho (ICIW, 2009)

Towards a Privacy-Enhanced Social Networking Site. - Esma Aïmeur; Sébastien Gambs; Ai Ho (ARES, 2010)

GEPETO: A GEoPrivacy-Enhancing TOolkit. - Sébastien Gambs; Marc-Olivier Killijian; Miguel Núñez del Prado Cortez (AINA Workshops, 2010)

Uniform and Ergodic Sampling in Unstructured Peer-to-Peer Systems with Malicious Nodes. - Emmanuelle Anceaume; Yann Busnel; Sébastien Gambs (OPODIS, 2010)

A Proposal for a Privacy-preserving National Identity Card. - Yves Deswarte; Sébastien Gambs (Trans. Data Priv., 2010)

Characterizing the Adversarial Power in Uniform and Ergodic Node Sampling. - Emmanuelle Anceaume; Yann Busnel; Sébastien Gambs (AlMoDEP, 2011)

From SSIR to CIDre: A New Security Research Group in Rennes, France. - Emmanuelle Anceaume; Christophe Bidan; Sébastien Gambs; Guillaume Hiet; Michel Hurfin; Ludovic Mé; Guillaume Piolle; Nicolas Prigent; Eric Totel; Frederic Tronel; Valérie Viet Triem Tong (SysSec@DIMVA, 2011)

A comparative privacy analysis of geosocial networks. - Sébastien Gambs; Olivier Heen; Christophe Potin (SPRINGL, 2011)

Private Similarity Computation in Distributed Systems: From Cryptography to Differential Privacy. - Mohammad Alaggan; Sébastien Gambs; Anne-Marie Kermarrec (OPODIS, 2011)

An optimal quantum algorithm to approximate the mean and its application for approximating the median of a set of points over an arbitrary distance - Gilles Brassard; Frédéric Dupuis; Sébastien Gambs; Alain Tapp (CoRR, 2011)

Scalable and Secure Aggregation in Distributed Networks - Sébastien Gambs; Rachid Guerraoui; Hamza Harkous; Florian Huc; Anne-Marie Kermarrec (CoRR, 2011)

Show Me How You Move and I Will Tell You Who You Are. - Sébastien Gambs; Marc-Olivier Killijian; Miguel Núñez del Prado Cortez (Trans. Data Priv., 2011)

Maintaining Sovereignty over Personal Data in Social Networking Sites. - Esma Aïmeur; Sébastien Gambs; Ai Ho (Managing Privacy through Accountability, 2012)

AMORES: an architecture for mobiquitous resilient systems. - Christian Artigues; Yves Deswarte; Jérémie Guiochet; Marie-José Huguet; Marc-Olivier Killijian; David Powell; Matthieu Roy; Christophe Bidan; Nicolas Prigent; Emmanuelle Anceaume; Sébastien Gambs; Gilles Guette; et al. (ARMOR, 2012)

Locanyms: towards privacy-preserving location-based services. - Sébastien Gambs; Marc-Olivier Killijian; Matthieu Roy; Moussa Traoré (ARMOR, 2012)

The Challenges Raised by the Privacy-Preserving Identity Card. - Yves Deswarte; Sébastien Gambs (Cryptography and Security, 2012)

Reconstruction Attack through Classifier Analysis. - Sébastien Gambs; Ahmed Gmati; Michel Hurfin (DBSec, 2012)

AnKLe: Detecting Attacks in Large Scale Systems via Information Divergence. - Emmanuelle Anceaume; Yann Busnel; Sébastien Gambs (EDCC, 2012)

SlopPy: Slope One with Privacy. - Sébastien Gambs; Julien Lolive (DPM/SETOP, 2012)

Next place prediction using mobility Markov chains. - Sébastien Gambs; Marc-Olivier Killijian; Miguel Núñez del Prado Cortez (MPM@EuroSys, 2012)

Scalable and Secure Polling in Dynamic Distributed Networks. - Sébastien Gambs; Rachid Guerraoui; Hamza Harkous; Florian Huc; Anne-Marie Kermarrec (SRDS, 2012)

BLIP: Non-interactive Differentially-Private Similarity Computation on Bloom filters. - Mohammad Alaggan; Sébastien Gambs; Anne-Marie Kermarrec (SSS, 2012)

On Dynamic Distributed Computing - Sébastien Gambs; Rachid Guerraoui; Florian Huc; Anne-Marie Kermarrec (CoRR, 2012)

Inference Attacks on Geolocated Data. - Sébastien Gambs (ERCIM News, 2012)

P3ERS: Privacy-Preserving PEer Review System. - Esma Aïmeur; Gilles Brassard; Sébastien Gambs; David Schönfeld (Trans. Data Priv., 2012)

MapReducing GEPETO or Towards Conducting a Privacy Analysis on Millions of Mobility Traces. - Sébastien Gambs; Marc-Olivier Killijian; Izabela Moise; Miguel Núñez del Prado Cortez (IPDPS Workshops, 2013)

A Privacy-Preserving Contactless Transport Service for NFC Smartphones. - Ghada Arfaoui; Sébastien Gambs; Patrick Lacharme; Jean-François Lalande; Roch Lescuyer; Jean Claude Paillès (MobiCASE, 2013)

Quantum speed-up for unsupervised learning. - Esma Aïmeur; Gilles Brassard; Sébastien Gambs (Mach. Learn., 2013)

On the Power of the Adversary to Solve the Node Sampling Problem. - Emmanuelle Anceaume; Yann Busnel; Sébastien Gambs (Trans. Large Scale Data Knowl. Centered Syst., 2013)

Challenging Differential Privacy: The Case of Non-interactive Mechanisms. - Raghavendran Balu; Teddy Furon; Sébastien Gambs (ESORICS (2), 2014)

The Crypto-Democracy and the Trustworthy (Position Paper). - Sébastien Gambs; Samuel Ranellucci; Alain Tapp (DPM/SETOP/QASA, 2014)

Private Asymmetric Fingerprinting: A Protocol with Optimal Traitor Tracing Using Tardos Codes. - Caroline Fontaine; Sébastien Gambs; Julien Lolive; Cristina Onete (LATINCRYPT, 2014)

PROPS: A PRivacy-Preserving Location Proof System. - Sébastien Gambs; Marc-Olivier Killijian; Matthieu Roy; Moussa Traoré (SRDS, 2014)

The Crypto-democracy and the Trustworthy. - Sébastien Gambs; Samuel Ranellucci; Alain Tapp (CoRR, 2014)

Prover Anonymous and Deniable Distance-Bounding Authentication. - Sébastien Gambs; Cristina Onete; Jean-Marc Robert 001 (IACR Cryptol. ePrint Arch., 2014)

De-anonymization attack on geolocated data. - Sébastien Gambs; Marc-Olivier Killijian; Miguel Núñez del Prado Cortez (J. Comput. Syst. Sci., 2014)

A Privacy-Preserving NFC Mobile Pass for Transport Systems. - Ghada Arfaoui; Guillaume Dabosville; Sébastien Gambs; Patrick Lacharme; Jean-François Lalande (EAI Endorsed Trans. Mob. Commun. Appl., 2014)

Towards privacy-driven design of a dynamic carpooling system. - Jesus Friginal; Sébastien Gambs; Jérémie Guiochet; Marc-Olivier Killijian (Pervasive Mob. Comput., 2014)

The Not-so-Distant Future: Distance-Bounding Protocols on Smartphones. - Sébastien Gambs; Carlos Eduardo Rosar Kós Lassance; Cristina Onete (CARDIS, 2015)

Sanitization of Call Detail Records via Differentially-Private Bloom Filters. - Mohammad Alaggan; Sébastien Gambs; Stan Matwin; Mohammed Tuhin (DBSec, 2015)

An Empirical Study on GSN Usage Intention: Factors Influencing the Adoption of Geo-Social Networks. - Esma Aïmeur; Sébastien Gambs; Cheu Yien Yep (ARES, 2016)

Private eCash in Practice (Short Paper). - Amira Barki; Solenn Brunet; Nicolas Desmoulins; Sébastien Gambs; Saïd Gharout; Jacques Traoré (Financial Cryptography, 2016)

Edge-calibrated noise for differentially private mechanisms on graphs. - Solenn Brunet; Sébastien Canard; Sébastien Gambs; Baptiste Olivier (PST, 2016)

A Prover-Anonymous and Terrorist-Fraud Resistant Distance-Bounding Protocol. - Xavier Bultel; Sébastien Gambs; David Gérault; Pascal Lafourcade 001; Cristina Onete; Jean-Marc Robert 001 (WISEC, 2016)

Novel differentially private mechanisms for graphs. - Solenn Brunet; Sébastien Canard; Sébastien Gambs; Baptiste Olivier (IACR Cryptol. ePrint Arch., 2016)

Heterogeneous Differential Privacy. - Mohammad Alaggan; Sébastien Gambs; Anne-Marie Kermarrec (J. Priv. Confidentiality, 2016)

Differential Privacy Models for Location-Based Services. - Ehab ElSalamouny; Sébastien Gambs (Trans. Data Priv., 2016)

A Terrorist-fraud Resistant and Extractor-free Anonymous Distance-bounding Protocol. - Gildas Avoine; Xavier Bultel; Sébastien Gambs; David Gérault; Pascal Lafourcade 001; Cristina Onete; Jean-Marc Robert 001 (IACR Cryptol. ePrint Arch., 2017)

Entwining Sanitization and Personalization on Databases. - Sébastien Gambs; Julien Lolive; Jean-Marc Robert 001 (AsiaCCS, 2018)

Privacy and Ethical Challenges in Big Data. - Sébastien Gambs (FPS, 2018)

Optimal noise functions for location privacy on continuous regions. - Ehab ElSalamouny; Sébastien Gambs (Int. J. Inf. Sec., 2018)

Privacy-preserving Wi-Fi Analytics. - Mohammad Alaggan; Mathieu Cunche; Sébastien Gambs (Proc. Priv. Enhancing Technol., 2018)

Anonymization methods and inference attacks: theory and practice (NII Shonan Meeting 2018-5). - Hiroaki Kikuchi; Josep Domingo-Ferrer; Sébastien Gambs (NII Shonan Meet. Rep., 2018)

Inspect What Your Location History Reveals About You: Raising user awareness on privacy threats associated with disclosing his location data. - Antoine Boutet; Sébastien Gambs (CIKM, 2019)

Fairwashing: the risk of rationalization. - Ulrich Aïvodji; Hiromi Arai; Olivier Fortineau; Sébastien Gambs; Satoshi Hara 001; Alain Tapp (ICML, 2019)

IOTFLA : A Secured and Privacy-Preserving Smart Home Architecture Implementing Federated Learning. - Ulrich Matchi Aïvodji; Sébastien Gambs; Alexandre Martin (IEEE Symposium on Security and Privacy Workshops, 2019)

Agnostic data debiasing through a local sanitizer learnt from an adversarial network approach. - Ulrich Aïvodji; François Bidet; Sébastien Gambs; Rosin Claude Ngueveu; Alain Tapp (CoRR, 2019)

Learning Fair Rule Lists. - Ulrich Aïvodji; Julien Ferry; Sébastien Gambs; Marie-José Huguet; Mohamed Siala 002 (CoRR, 2019)

GAMIN: An Adversarial Approach to Black-Box Model Inversion. - Ulrich Aïvodji; Sébastien Gambs; Timon Ther (CoRR, 2019)

Publication of Court Records: Circumventing the Privacy-Transparency Trade-Off. - Tristan Allard; Louis Béziaud; Sébastien Gambs (AICOL, 2020)

DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks. - Antoine Boutet; Carole Frindel; Sébastien Gambs; Théo Jourdan; Claude Rosin Ngueveu (CoRR, 2020)

Online publication of court records: circumventing the privacy-transparency trade-off. - Tristan Allard; Louis Béziaud; Sébastien Gambs (CoRR, 2020)

Model extraction from counterfactual explanations. - Ulrich Aïvodji; Alexandre Bolot; Sébastien Gambs (CoRR, 2020)

DySan: Dynamically Sanitizing Motion Sensor Data Against Sensitive Inferences through Adversarial Networks. - Antoine Boutet; Carole Frindel; Sébastien Gambs; Théo Jourdan; Rosin Claude Ngueveu (AsiaCCS, 2021)

FairCORELS, an Open-Source Library for Learning Fair Rule Lists. - Ulrich Aïvodji; Julien Ferry; Sébastien Gambs; Marie-José Huguet; Mohamed Siala 002 (CIKM, 2021)

Characterizing the risk of fairwashing. - Ulrich Aïvodji; Hiromi Arai; Sébastien Gambs; Satoshi Hara 001 (NeurIPS, 2021)

Local Data Debiasing for Fairness Based on Generative Adversarial Training. - Ulrich Aïvodji; François Bidet; Sébastien Gambs; Rosin Claude Ngueveu; Alain Tapp (Algorithms, 2021)

Growing synthetic data through differentially-private vine copulas. - Sébastien Gambs; Frédéric Ladouceur; Antoine Laurent; Alexandre Roy-Gaumond (Proc. Priv. Enhancing Technol., 2021)

Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists. - Ulrich Aïvodji; Julien Ferry; Sébastien Gambs; Marie-José Huguet; Mohamed Siala 002 (CPAIOR, 2022)

Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python. - Héber Hwang Arcolezi; Jean-François Couchot; Sébastien Gambs; Catuscia Palamidessi; Majid Zolfaghari (ESORICS (3), 2022)

Washing The Unwashable : On The (Im)possibility of Fairwashing Detection. - Ali Shahin Shamsabadi; Mohammad Yaghini; Natalie Dullerud; Sierra Calanda Wyllie; Ulrich Aïvodji; Aisha Alaagib; Sébastien Gambs; Nicolas Papernot (NeurIPS, 2022)

Fair mapping. - Sébastien Gambs; Rosin Claude Ngueveu (CoRR, 2022)

PROBONITE : PRivate One-Branch-Only Non-Interactive decision Tree Evaluation. - Sofiane Azogagh; Victor Delfour; Sébastien Gambs; Marc-Olivier Killijian (IACR Cryptol. ePrint Arch., 2022)

Machine-Learning Approach for Automatic Detection of Wild Beluga Whales from Hand-Held Camera Pictures. - Voncarlos M. Araújo; Ankita Shukla; Clément Chion; Sébastien Gambs; Robert Michaud (Sensors, 2022)

SNAKE Challenge: Sanitization Algorithms under Attack. - Tristan Allard; Louis Béziaud; Sébastien Gambs (CIKM, 2023)

Frequency Estimation of Evolving Data Under Local Differential Privacy. - Héber Hwang Arcolezi; Carlos Pinzón; Catuscia Palamidessi; Sébastien Gambs (EDBT, 2023)

Leveraging In-Network Computing for Privacy-Aware Real-Time Surveillance mHealth Applications. - Syrine Rajhi; Halima Elbiaze; Sébastien Gambs; Roch H. Glitho (GLOBECOM, 2023)

Confidential-PROFITT: Confidential PROof of FaIr Training of Trees. - Ali Shahin Shamsabadi; Sierra Calanda Wyllie; Nicholas Franzese; Natalie Dullerud; Sébastien Gambs; Nicolas Papernot; Xiao Wang 012; Adrian Weller (ICLR, 2023)

Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. - Julien Ferry; Ulrich Aïvodji; Sébastien Gambs; Marie-José Huguet; Mohamed Siala 002 (SaTML, 2023)

RSSI-Based Fingerprinting of Bluetooth Low Energy Devices. - Guillaume Gagnon; Sébastien Gambs; Mathieu Cunche (SECRYPT, 2023)

Revealing the True Cost of Local Privacy: An Auditing Perspective. - Héber Hwang Arcolezi; Sébastien Gambs (CoRR, 2023)

Data privacy for Mobility as a Service. - Zineb Garroussi; Antoine Legrain; Sébastien Gambs; Vincent Gautrais; Brunilde Sansò (CoRR, 2023)

SoK: Taming the Triangle - On the Interplays between Fairness, Interpretability and Privacy in Machine Learning. - Julien Ferry; Ulrich Aïvodji; Sébastien Gambs; Marie-José Huguet; Mohamed Siala 002 (CoRR, 2023)

On the Risks of Collecting Multidimensional Data Under Local Differential Privacy. - Héber Hwang Arcolezi; Sébastien Gambs; Jean-François Couchot; Catuscia Palamidessi (Proc. VLDB Endow., 2023)

Improving fairness generalization through a sample-robust optimization method. - Julien Ferry; Ulrich Aïvodji; Sébastien Gambs; Marie-José Huguet; Mohamed Siala 002 (Mach. Learn., 2023)

Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning. - Sofiane Azogagh; Zelma Aubin Birba; Sébastien Gambs; Marc-Olivier Killijian (CODASPY, 2024)

Leveraging Transformer Architecture for Effective Trajectory-User Linking (TUL) Attack and Its Mitigation. - Youcef Korichi; Josée Desharnais; Sébastien Gambs; Nadia Tawbi (ESORICS (4), 2024)

PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining. - Mishaal Kazmi; Hadrien Lautraite; Alireza Akbari; Qiaoyue Tang; Mauricio Soroco; Tao Wang; Sébastien Gambs; Mathias Lécuyer (NeurIPS, 2024)

Probabilistic Dataset Reconstruction from Interpretable Models. - Julien Ferry; Ulrich Aïvodji; Sébastien Gambs; Marie-José Huguet; Mohamed Siala 002 (SaTML, 2024)

Synthetic Data: Generate Avatar Data on Demand. - Thomas Lebrun; Louis Béziaud; Tristan Allard; Antoine Boutet; Sébastien Gambs; Mohamed Maouche (WISE (5), 2024)

RSSI-based attacks for identification of BLE devices. - Guillaume Gagnon; Sébastien Gambs; Mathieu Cunche (Comput. Secur., 2024)

Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists. - Timothée Ly; Julien Ferry; Marie-José Huguet; Sébastien Gambs; Ulrich Aïvodji (CoRR, 2024)

GRAND : Graph Reconstruction from potential partial Adjacency and Neighborhood Data. - Sofiane Azogagh; Zelma Aubin Birba; Josée Desharnais; Sébastien Gambs; Marc-Olivier Killijian; Nadia Tawbi (CoRR, 2024)

Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective. - Héber Hwang Arcolezi; Sébastien Gambs (Proc. Priv. Enhancing Technol., 2024)

Membership inference attack for beluga whales discrimination. - Voncarlos M. Araújo; Sébastien Gambs; Robert Michaud; Hadrien Lautraite; Léo Schneider; Clément Chion (Ecol. Informatics, 2024)

QRisk: Think Before You Scan QR Codes. - Abhishek Kumar Mishra; Guillaume Gagnon; Mathieu Cunche; Sébastien Gambs (ARES (2), 2025)

Towards Privacy-preserving and Fairness-aware Federated Learning Framework. - Adda-Akram Bendoukha; Didem Demirag; Nesrine Kaaniche; Aymen Boudguiga; Renaud Sirdey; Sébastien Gambs (Proc. Priv. Enhancing Technol., 2025)

WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles. - Patrick Mesana; Clément Benesse; Hadrien Lautraite; Gilles Caporossi; Sébastien Gambs (Proc. Priv. Enhancing Technol., 2025)

AI-Powered Cow Detection in Complex Farm Environments. - Voncarlos M. Araújo; Ines Rili; Thomas Gisiger; Sébastien Gambs; Elsa Vasseur; Marjorie Cellier; Abdoulaye Baniré Diallo (CoRR, 2025)

Training Set Reconstruction from Differentially Private Forests: How Effective is DP? - Alice Gorgé; Julien Ferry; Sébastien Gambs; Thibaut Vidal (CoRR, 2025)

Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance. - Héber Hwang Arcolezi; Sébastien Gambs (CoRR, 2025)

P2NIA: Privacy-Preserving Non-Iterative Auditing. - Jade Garcia Bourrée; Hadrien Lautraite; Sébastien Gambs; Gilles Trédan; Erwan Le Merrer; Benoît Rottembourg (CoRR, 2025)

On the Usage of Gaussian Process for Efficient Data Valuation. - Clément Benesse; Patrick Mesana; Athénaïs Gautier; Sébastien Gambs (CoRR, 2025)