Team - Computational Privacy Group, Imperial College London
Team members of Computational Privacy Group at Imperial College London.
Yves-Alexandre de Montjoye
Group leader
Yves-Alexandre is an Associate Professor at Imperial College London. He received his PhD from MIT before joining Harvard IQSS for his postdoc. He currently is a Special Adviser on AI and Data Protection to EC Justice Commissioner Reynders and a Parliament-appointed expert to the Belgian Data Protection Agency (APD-GBA).
Euodia Dodd
PhD student
Euodia obtained her BSc in Computer Science from The University of Sheffield, and an MPhil in Advanced Computer Science from the University of Cambridge in 2022. She then spent two years at Goldman Sachs in the Applied AI team. Her interests include privacy attacks on ML systems, privacy-preserving ML, and interpretability.
Florent Guepin
PhD student
Florent received his BSc and MSc in theoretical computing from ENS Lyon. He also holds a BSc in pure maths from University Lyon 1 an engineering degree from Centrale Lyon. His research interests include privacy attacks against machine learning systems and generative systems such as GANs.
Yuhan Liu
Visiting PhD student
Yuhan obtained her BSc in computer science at Ximen University in China. While pursuing her Ph.D. degree at Renmin University of China since 2019, she worked as a research intern for a year at DAMO Academy, Alibaba Group. As a one-year visiting student, her research interests include differential privacy and privacy attacks against statistical data analysis and ML systems.
Nataša Krčo
PhD student
Nataša obtained her BSc degree in Computer Science at the University of Novi Sad in Serbia. After that, she obtained her MSc degree from EPFL. During her time there, she conducted research both in academic and industry settings, on responsible AI. Her research interests include explainable AI, algorithmic fairness, and privacy-preserving ML.
Yifeng Mao
PhD student
Originally from China, Yifeng obtained his BSc from Tsinghua University in Automation. After his master degree, he spent one year working as a full-time research assistant in the US. His research interests include privacy-preserving ML, synthetic data generation protecting personal anonymity, and attack methods against census datasets and ML models.
Matthieu Meeus
PhD student
Matthieu obtained his BSc from KU Leuven in Mechanical Engineering. Next, he spent four years in the US, pursuing two years of graduate study (Energy, Computer Science) and two years of working as data scientist at McKinsey & Company. His research interests include privacy attacks against (large) language models and ML systems.
Igor Shilov
PhD student
Igor obtained his undergraduate degree in Computer Science in 2013 and had been working as a Software Engineer since, most recently at Meta AI. His research interests include differential privacy and privacy attacks against ML systems.
Bozhidar Stevanoski
PhD student
Bozhidar has obtained his MSc in Data Science at the University of Ljubljana and his BSc in Computer Science at the Ss. Cyril and Methodius University in Skopje. His research interests include machine learning and privacy attacks against query-based systems.
Xiaoxue Yang
PhD student
Xiaoxue holds a BSc in Statistics/Economics from the University of Toronto and an MSc in Artificial Intelligence from Imperial College. Before her MSc, she worked as a technology consultant and later as a data scientist in Deloitte’s management consulting practice. Her research interests include privacy attacks against ML models and data releases such as synthetic data.
Zexi Yao
PhD student
Zexi is from Singapore, and obtained his BScs in Computer Science as well as Electrical and Computer Engineering from Carnegie Mellon University. He then spent 2 years as a research engineer at A*STAR in Singapore. His research interests include secure computing, distributed machine learning and privacy preserving techniques in machine learning.