DeCloakFace

With edge computing and public networks on the rise, safeguarding personal data is paramount. This article presents a comprehensive survey of Privacy-Enhancing Technologies (PETs) in emerging edge envisioned networks, focusing on privacy-preserving image processing and data analysis. The survey highlights the prevailing trend of using differential privacy techniques for image de-identification, offering insights into the state-of-the-art literature in this area. Additionally, it introduces DeCloakFace, an advanced technique for privacy-preserving image recognition on edge devices, showcasing its applicability and advantages. By identifying research gaps and exploring future directions, the article aims to advance PETs in addressing privacy concerns within emerging edge envisioned public networks. Differential privacy for image de-identification receives special attention, emphasizing its significance in preserving privacy while enabling effective data analysis.