Privacy Aware

Privacy-aware systems aim to design technologies that minimize the collection and exposure of sensitive personal information while maintaining functionality. Current research focuses on developing methods for privacy-preserving data processing, including differential privacy mechanisms and techniques leveraging vision-language models and deep learning for tasks like PII extraction and risk assessment in various applications, such as robotics and social media. These advancements are crucial for mitigating privacy risks associated with increasingly prevalent AI systems and data-driven applications, impacting both the ethical development of technology and the security of personal information.