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T R e S P A s S - ETN

TRaining in Secure and PrivAcy-preserving biometricS
Early Training Networks

ESRs

Dailé Osorio-Roig
ESR1 - Privacy-preserving indexing of large-scale biometric databases
Dailé Osorio-Roig received her MsC. Degree in Informatics Engineering from the Technological University of Havana, José Antonio Echeverría, Havana (CUJAE), Cuba, in 2014. Afterwards, she joined Advanced Technologies Application Center (CENATAV) from Havana, Cuba for computer science graduate training. Since 2020, she is a Ph.D. Student Member of da/sec group at the National Research Center for Applied Cybersecurity (ATHENE), Germany. Her principal research interests are focused in areas of Biometric and Machine Learning. Specifically, biometric indexing in conjunction with privacy-preserving template protection for efficient biometric identification.

Research interests
Biometric and multi-biometric systems, Efficient biometric identification search/retrieval algorithms and data structures, Privacy and template protection, Ocular segmentation.

Mathias Ibsen
ESR2 - Detection of manipulated biometric images using machine learning methods and image forensics
Mathias Ibsen received his MSc in Engineering, Artificial Intelligence and Algorithms from the Technical University of Denmark (DTU) in 2020. Subsequently, he became a PhD student member of the da/sec group at the German National Research Center for Applied Cybersecurity (ATHENE). He has experience working with large scalable software systems in the financial industry.

Research interests
Machine Learning, Face Recognition, Image Forensics, Knowledge-based Systems, and Algorithms for Massive Data Sets. 

Contacts

Oubaïda Chouchane
ESR3 - Cryptographic primitives for GDPR compliance
Oubaïda Chouchane received her MSc in Micro and Nano Electronics form the Faculty of Sciences of Monastir (FSM) in 2020. Subsequently, she become a PhD student member of the digital security group at EURECOM. Her principal research interests are focused in areas of cryptography and secure biometric identification and authentication.

Research interests
Homomorphic encryption, Secure multi-party computation, Symmetric Cryptography, Post-Quantum Cryptography, HW/SW implementation of cryptosystems.

Contacts

Wanying Ge
ESR4 - Evolutive and end-to-end learning for ASV anti-spoofing
Wanying Ge received his MSc. in Information and Communication Engineering from the Chongqing University of Post and Telecommunications (CQUPT) in 2020. He then started his PhD study at the Digital Security Department at EURECOM, France, focusing on speaker recognition and speech anti-spoofing.

Research interests
Machine Learning, Speaker Recognition, Speech Signal Processing.

Contacts

Hatef Otroshi
ESR5 - Biometric template protection of deep templates
Hatef Otroshi Shahreza received his BSc and MSc in Electrical Engineering from University of Kashan, and Sharif University of Technology, Iran, in 2016 and 2018, respectively. Since April 2020, he has been working for his PhD program at Ecole Polytechnique Fédérale de Lausanne (EPFL) and Idiap Research Institute, Switzerland.

Research interests
Machine Learning, Deep Learning, Computer Vision, Biometric Template Protection, Image/Video Quality Assessment

Alexander Unnervik
ESR6 - Adversarial machine learning for combating the vulnerabilities of DNN-based biometric systems
Alexander Unnervik graduated in 2014 from the Ecole Polytéchnique de Lausanne, Switzerland, obtaining his MSc. in Electrical Engineering. He then moved to Munich to work at Intel in the (then) Cyberphysical Systems and Mobility Lab, focusing on implementing and deploying computer vision algorithms. In March 2020, Alex moved back to Switzerland to start his PhD at the Idiap research Institute. 

Research interests
Adversarial Machine Learning, Poison Attacks and Neural Network Vulnerabilities.

Pietro Melzi
ESR7 - Quantifying privacy in mobile interaction
Pietro Melzi received his MSc in Computer Science and Engineering from Politecnico di Milano in April 2020, with a Master's Thesis on Safe Reinforcement Learning applied to industrial environments. He then started his PhD at Universidad Autónoma de Madrid, focusing on deep learning for quantifying and protecting privacy in the area of biometrics.

Research interests
Deep Learning, Reinforcement Learning, Image Analysis, Interpretability of Neural Networks 

Contacts
LinkedIn

Luis Felipe Gómez
ESR8 - Enhancing security in multimodal biometrics: e-learning and e-banking
Luis Felipe Gómez Gómez received his MSc degree in Engineering from the Universidad de Antioquia, Colombia in 2018 and in 2021.
Currently, he is a PhD student of the BiDA Lab group at the Universidad de Autónoma de Madrid.
His research activities during the last three years are focused on signal processing and machine learning for biometric applications and its applications in healthcare.

Research interests
Machine Learning, Deep Learning, Facial recognition, Facial expressivity evaluation.

Contacts
Google Scholar

Johannes Ernst
ESR9 - Design of secure and privacy-preserving biometric authentication protocols using secure multi-party computation techniques
Johannes Ernst received his MSc in computer science from the Karlsruhe Institue of Technology (KIT) in summer 2020. He started his PhD at the university of St. Gallen in November 2020, where he works on cryptographic methods for privacy preserving biometric authentication.

Research interests
Functional Encryption, Secure Multi-Party Computation, Post-Quantum Cryptography, Privacy Preserving Authentication

Contacts

Adrien Pasquereau
ESR1 0 - Privacy-preserving biometric authentication and differential privacy
Adrien graduated with a double master's degree program in Mathematics from the University of Rennes 1 and in Computer Science from the Karlsruhe Institute of Technology in 2020. He started his Ph.D. at the University of St. Gallen in November 2020. His work focuses on applying cryptographic methods to ensure secure authentication protocols and quantifying their privacy loss.

Research interests
Provable Security, Post-Quantum Cryptography, Secure Multi-Party Computation, Privacy-Preserving Protocols, Differential Privacy.

Contacts

Margaret Warthon
ESR11 - Impacts of the GDPR on algorithms used for automated-decision making
Margaret is a doctoral researcher at the University of Groningen. She graduated as a lawyer from the Pontifical Catholic University of Peru and obtained her LL.M. degree in Intellectual Property Law at the University of Göttingen.
Prior to starting her PhD studies, Margaret did her training at CEIPI and CiTiP at the University of Strasbourg and KU Leuven, respectively. Her research explores the implications of the GDPR on the design of biometric algorithms.

Research interests
Research interests: data protection; algorithmic surveillance; XAI; emotion detection and biometrics.

Contacts

Monique Kalsi
ESR12 - Combining the legal requirements of data protection by design and data protection by default with the technical development of next-generation biometric systems
Monique is a double master’s degree holder in Public International Law from the University of Strasbourg, and in Human Rights and Humanitarian Law from University Paris 2 Panthéon-Assas. She has graduated of the Legal Clinic in Human Rights Program of the Institut international des droits de l’Homme - Fondation Rene Cassin in Strasbourg. Prior to her PhD, she has worked on topics pertaining to human rights, sustainable development and responsible business conduct in different organizations, including at the Office of the United Nations High Commissioner for Human Rights (Geneva), the Organization for Economic Co-operation and Development and the French Ministry of Economy and Finance. Her current research is focused on combining the legal requirements of data protection by design and by default with the technological developments of biometrics.

Research interests
Data protection, human rights and technology, responsible innovation, privacy and transparency by design, biometrics, artificial intelligence.

Contacts

Lydia Belkadi
ESR13 - Conceptual framework for use and regulation of new biometric data
Lydia holds a Bachelor degree in Private Law as well as a University degree in Comparative and International Legal Studies from Paris-Saclay University. She graduated from Paris-Saclay University in Business Law and Tilburg University in Law and Technology. After her graduation, she worked as an legal intern in the field of IP law, IT law and data protection.

Research interests
Data protection, biometric data, privacy-preserving biometrics, prospective legal issues of biometric technologies.

Contacts

César Augusto Fontanillo López
ESR14 - Catalogue of risks of biometric data use and assessment of protective technical measures
César is a lawyer and legal researcher with a background in business administration and law. His research focuses on the ethical, legal, and technological aspects of biometric technologies and brain-computer interfaces, with a focus point on electroencephalographic techniques. Cesar has conducted research on image morphing and manipulation attack detection algorithms for the evaluation of ID documents and fraud detection under the H2020 iMARS Project. He has also conducted research on brain-computer interfaces under H2020 COST Action 16116 of brain-controlled wearable robotics at the eLaw Center for Law and Digital Technologies of Leiden University and at the Biomechatronics and Biorobotics Lab of Shanghai Jiao Tong University. Previous to joining the Center for IP and IT Law (CiTiP), César worked as a cybersecurity intern at the Inter-American Defense Board in Washington D.C. and as an IP&IT legal trainee at an international law firm.

Research interests
Biometrics, voice recognition, facial recognition, emotion recognition, fingerprints, dactyloscopy, DNA, sensors, manipulation, detection, verification, authentication, identification, brain-computer interfaces, EEG, fNIRS, PET, MRI, fMRI, ECoG, invasive, non-invasive, legal, ethical, societal, technology, privacy, data protection, intellectual property, competition law, fundamental rights.

Contacts

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Acknowledgement

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 860813 - TReSPAsS-ETN

Coordination

EURECOM
Massimiliano Todisco
Nicholas Evans
name . surname @ eurecom . fr

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