This talk explores the intersection of image processing and computer vision with crucial forensics and privacy challenges, shedding light on innovative methods and inherent vulnerabilities. We begin by examining the potential of consumer-grade cameras for capturing detailed 3D surface structures at a microscopic level, enabling extracting the "fingerprint" information for the high-accuracy, low-cost authentication of important documents and product packaging. Building on the theme of information extraction, we delve into how indoor camera images can inadvertently reveal location information, offering a powerful tool for the potential capture of child exploiters. Finally, we transition to analyze the vulnerabilities within federated learning systems. We demonstrate how training images can be silently extracted by a curious but honest server or from participating clients, raising significant concerns about data privacy for the potential deployment of federated learning systems.
Speaker(s): Chau-Wei Wong,
Virtual: https://events.vtools.ieee.org/m/437937
IEEE SPS SCV – Leveraging Image Processing for Forensics and Privacy in the Digital Age

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