Biography
Emmanuel works as a postdoctoral researcher at CISPA with Adam Dziedzic and Franziska Boenisch on the privacy of large language models (LLMs) in the SprintML lab. Emmanuel is currently completing his PhD at Leibniz Universität Hannover (LUH) under the supervision of Prof. Wolfgang Nejdl and Asst. Prof. Megha Khosla, focusing on the privacy of graph neural networks (GNNs). He is deeply passionate about the privacy of machine learning models and excels in identifying vulnerabilities in machine learning models by lauching attacks and developing defenses, with a particular focus on the strategic implementation of differential privacy techniques to foster a more secure, responsible and ethical AI. He was a researcher in the L3S Research Center and Leibniz AI lab. He was a visiting researcher in the Multimedia Computing (MMC) Group at TU Delft.
- Security and Privacy
- Artificial Intelligence
- Large Language Models
- Explainability
- Health Informatics
- Graph Neural Networks
- Social Media Mining
PhD in Computer Science (In Progress), 2024 (Expected)
Leibniz University (LUH)
MPhil in Systems Engineering and Engineering Management, 2020
Chinese University of Hong Kong (CUHK)
MSc in Advanced Information Systems, 2015
Hong Kong Baptist University (HKBU)
Skills
Experience
- Privacy of large language models (LLMs)
- Attacks and Defenses against LLMs
- Differential Privacy and application on graph neural networks
- Privacy and application of AI in healthcare
- Attacks and Defenses against machine learning models
- Design of an efficient location-aware algorithm for indoor tracking
- Development of Restful APIs and ad-hoc programming as required
- Design of privacy-preserving algorithm for indoor location tracking
- Development of indoor location estimation algorithms using Wi-Fi technology
- Developed Oblivious RAM (ORAM) algorithm, Homomorphic encryption scheme, and implementation of secure multiparty computation for secure information retrieval
- Data collection, analysis, and simulation
- Diagnosed and solved problems related to the research project
- Controlled organization’s resources and expenditures
- Improved quality of service, and I ensured the smooth running of the organization
- Protected the interest of workers and acted as an intermediary between collaborating agencies
- Increased revenue by 40% in 3 months by introducing business intelligence.
- Taught Computer studies to different cadres of people and at seminars
- Ensured a high level of discipline amongst corps members
- Held talk shows in schools enlightening students on the pervasiveness of computing
Scholarships and Awards
Projects
