• Conduct fundamental and innovative research in privacy and security related areas, including but not limited to data anonymization, differential privacy, adversarial training, machine unlearning, homomorphic encryption, federated learning, secure multi-party computation, training/inference on encrypted data, etc.
• Identify new privacy-preserving and robust machine learning approaches in various CV applications, such as Image classification, object detection, pose detection, semantic image segmentation, etc.
• Participant in security and privacy related projects to empower real-world AI applications in Sony, specifically Imaging & Sensing business.
• Contribute to library and tool development to support research and business.
• Write reports and give presentations for internal audiences.
• Publish influential research outcomes in top-tier conferences and journals.

• Currently has, or in the process of obtaining, a Ph D degree in computer science or related field.
• Publications or expertise in privacy and security, computer vision, tiny-device learning, adversarial learning, distributed/decentralized system design, communication efficiency, etc.
• Ability to communicate research in a clear and precise manner.
• Familiar with Python, C++, Pytorch, Tensorflow, etc.