LDFA: Latent diffusion face anonymization for self-driving applications

M Klemp, K Rösch, R Wagner… - Proceedings of the …, 2023 - openaccess.thecvf.com
In order to protect vulnerable road users (VRUs), such as pedestrians or cyclists, it is
essential that intelligent transportation systems (ITS) accurately identify them. Therefore …

Computational facial analysis for rare Mendelian disorders

TC Hsieh, PM Krawitz - … Journal of Medical Genetics Part C …, 2023 - Wiley Online Library
With the advances in computer vision, computational facial analysis has become a powerful
and effective tool for diagnosing rare disorders. This technology, also called next‐generation …

[HTML][HTML] Face deidentification with controllable privacy protection

B Meden, M Gonzalez-Hernandez, P Peer… - Image and Vision …, 2023 - Elsevier
Privacy protection has become a crucial concern in today's digital age. Particularly sensitive
here are facial images, which typically not only reveal a person's identity, but also other …

Diff-privacy: Diffusion-based face privacy protection

X He, M Zhu, D Chen, N Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Privacy protection has become a top priority due to the widespread collection and misuse of
personal data. Anonymization and visual identity information hiding are two crucial tasks in …

Does Image Anonymization Impact Computer Vision Training?

H Hukkelås, F Lindseth - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Image anonymization is widely adapted in practice to comply with privacy regulations in
many regions. However, anonymization often degrades the quality of the data, reducing its …

Physics Based Camera Privacy: Lens and Network Co-Design to the Rescue

M Dufraisse, M Carvalho… - Proceedings of the …, 2024 - openaccess.thecvf.com
The wide presence of cameras using automatic image processing has a positive impact on
smart cities and autonomous driving objectives but also poses privacy threats. In this context …

Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction

Z Kuang, X Yang, Y Shen, C Hu… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
The unprecedented capture and application of face images raise increasing concerns on
anonymization to fight against privacy disclosure. Most existing methods may suffer from the …

Balancing Privacy and Accuracy: Exploring the Impact of Data Anonymization on Deep Learning Models in Computer Vision

JH Lee, SJ You - IEEE Access, 2024 - ieeexplore.ieee.org
Computer vision has become indispensable in various applications, including autonomous
driving, medical imaging, security and surveillance, robotics, and pattern recognition. In …

Synthesizing anyone, anywhere, in any pose

H Hukkelås, F Lindseth - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
We address the task of in-the-wild human figure synthesis, where the primary goal is to
synthesize a full body given any region in any image. In-the-wild human figure synthesis has …

Ganonymization: A gan-based face anonymization framework for preserving emotional expressions

F Hellmann, S Mertes, M Benouis, A Hustinx… - ACM Transactions on …, 2024 - dl.acm.org
In recent years, the increasing availability of personal data has raised concerns regarding
privacy and security. One of the critical processes to address these concerns is data …