Sina
Sajadmanesh
Profile
Sina earned his Ph.D. from EPFL, focusing on privacy-preserving machine learning on graphs. During his Ph.D., Sina interned at Brave Software and visited the Safe and Ethical AI program at The Alan Turing Institute. His research interests include trustworthy and secure machine learning, federated learning, reinforcement learning, and learning on graphs.
Publications
Privacy-preserving computer vision is an important emerg- ing problem in machine learning and artificial intelligence. The prevalent methods tackling this problem use differential privacy or anonymization and obfuscation techniques to protect the privacy of individuals. In b…
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