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Jhon Lopez

3 accepted papers

2026

NOWA: Null-space Optical Watermark for Invisible Capture Fingerprinting and Tamper Localization

CVPR 2026

Ensuring the authenticity and ownership of digital images is increasingly challenging as modern editing tools enable highly realistic forgeries. Existing image protection systems mainly rely on digital watermarking, which is susceptible to sophisticated digital attacks. To address this limitation, w

Cited by 0SourceScholar
2024

Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning

ICASSP 2024accepted

In the era of cloud computing and data-driven applications, it is crucial to protect sensitive information to maintain data privacy, ensuring truly reliable systems. As a result, preserving privacy in deep learning systems has become a critical concern. Existing methods for privacy preservation rely…

Cited by 0SourceScholar
2024

Privacy-Preserving Optics for Enhancing Protection in Face De-Identification

CVPR 2024poster

The modern surge in camera usage alongside widespread computer vision technology applications poses significant privacy and security concerns. Current artificial intelligence (AI) technologies aid in recognizing relevant events and assisting in daily tasks in homes offices hospitals etc. The need to…

Cited by 7SourcePDFScholar