A novel generative model for face privacy protection in video surveillance with utility maintenance
In recent years, the security and privacy issues of face data in video surveillance have
become one of the hotspots. How to protect privacy while maintaining the utility of monitored …
become one of the hotspots. How to protect privacy while maintaining the utility of monitored …
Responsible Artificial Intelligence: A Structured Literature Review
S Goellner, M Tropmann-Frick, B Brumen - arXiv preprint arXiv …, 2024 - arxiv.org
Our research endeavors to advance the concept of responsible artificial intelligence (AI), a
topic of increasing importance within EU policy discussions. The EU has recently issued …
topic of increasing importance within EU policy discussions. The EU has recently issued …
Video-to-text pedestrian monitoring (VTPM): Leveraging computer vision and large Language Models for privacy-preserve pedestrian activity monitoring at …
Computer vision has advanced research methodologies, enhancing system services across
various fields. It is a core component in traffic monitoring systems for improving road safety; …
various fields. It is a core component in traffic monitoring systems for improving road safety; …
Person de-Identification: A Comprehensive Review of Methods, Datasets, Applications, and Ethical Aspects Along-With New Dimensions
Person de-identification has become a challenging problem that is receiving substantial
attention because of the growing demand for privacy protection and related regulations. In …
attention because of the growing demand for privacy protection and related regulations. In …
Fairness and privacy preservation for facial images: GAN-based methods
Facial images are widely adopted for computer vision tasks such as face recognition or
attribute classifications. Consequently, the adoption of mass real facial images leads to …
attribute classifications. Consequently, the adoption of mass real facial images leads to …
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 …
their faces. These methods, however, can degrade the quality of photos, and they usually do …
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 …
obscuring their faces. These methods, however, can degrade the quality of photos, and they …
Aspects and views on responsible artificial intelligence
Background: There is a lot of discussion in EU politics about trust in artificial intelligence (AI).
Because it can be used as a lethal weapon we need (EU) regulations that take care of …
Because it can be used as a lethal weapon we need (EU) regulations that take care of …
Disguise without disruption: Utility-preserving face de-identification
With the rise of cameras and smart sensors, humanity generates an exponential amount of
data. This valuable information, including underrepresented cases like AI in medical …
data. This valuable information, including underrepresented cases like AI in medical …
Dream net: a privacy preserving continual leaming model for face emotion recognition
M Mainsant, M Solinas, M Reyboz… - … and Demos (ACIIW), 2021 - ieeexplore.ieee.org
Continual learning is a growing challenge of artificial intelligence. Among algorithms
alleviating catastrophic forgetting that have been developed in the past years, only few …
alleviating catastrophic forgetting that have been developed in the past years, only few …