Privacy–enhancing face biometrics: A comprehensive survey

B Meden, P Rot, P Terhörst, N Damer… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Biometric recognition technology has made significant advances over the last decade and is
now used across a number of services and applications. However, this widespread …

Robust privacy-preserving motion detection and object tracking in encrypted streaming video

X Tian, P Zheng, J Huang - IEEE Transactions on Information …, 2021 - ieeexplore.ieee.org
Video privacy leakage is becoming an increasingly severe public problem, especially in
cloud-based video surveillance systems. It leads to the new need for secure cloud-based …

[PDF][PDF] DeepBlur: A simple and effective method for natural image obfuscation

T Li, MS Choi - arxiv preprint arxiv:2104.02655, 2021 - researchgate.net
There is a growing privacy concern due to the popularity of social media and surveillance
systems, along with advances in face recognition software. However, established image …

Examining StyleGAN as a utility-preserving face de-identification method

SMSM Khorzooghi, S Nilizadeh - Proceedings on Privacy …, 2023 - petsymposium.org
Several face de-identification methods have been proposed to preserve users' privacy by
obscuring their faces. These methods, however, can degrade the quality of photos, and they …

StyleGAN as a utility-preserving face de-identification method

SMSM Khorzooghi, S Nilizadeh - arxiv preprint arxiv:2212.02611, 2022 - arxiv.org
Face de-identification methods have been proposed to preserve users' privacy by obscuring
their faces. These methods, however, can degrade the quality of photos, and they usually do …

A false sense of privacy: Towards a reliable evaluation methodology for the anonymization of biometric data

S Hanisch, J Todt, J Patino, N Evans… - arxiv preprint arxiv …, 2023 - arxiv.org
Biometric data contains distinctive human traits such as facial features or gait patterns. The
use of biometric data permits an individuation so exact that the data is utilized effectively in …

Leveraging deep learning-assisted attacks against image obfuscation via federated learning

J Tekli, B Al Bouna, G Tekli, R Couturier… - Neural Computing and …, 2024 - Springer
Obfuscation techniques (eg, blurring) are employed to protect sensitive information (SI) in
images such as individuals' faces. Recent works demonstrated that adversaries can perform …

Secure Deep Learning Framework for Moving Object Detection in Compressed Video

X Tian, P Zheng, J Huang - IEEE Transactions on Dependable …, 2023 - ieeexplore.ieee.org
In the cloud, there is an urgent need to implement intelligent video surveillance in a privacy-
preserving way. Moving object detection is an important task in the intelligent surveillance …

[HTML][HTML] Online New Media Oriented Privacy Data Recognition Mechanism Based on Deep Learning

J Liu, N Yu - Journal of Multimedia Information System, 2023 - jmis.org
Although the current face de-recognition algorithm can effectively protect the user's identity,
it will change the original attributes of the image, destroy the visual effect, or change the …

Determining the robustness of privacy enhancing deid against the reid adversary: an experimental study

A Chattopadhyay, R Ruska, L Pfantz - Proceedings of the 16th …, 2021 - dl.acm.org
Prior research literature shows that there has been considerable work done in the last
decade in the area of image de-identification (DeID) for privacy protection. With the …