Image Desensitization

Image desensitization focuses on protecting sensitive information within images while preserving their utility for tasks like recognition or analysis. Current research explores various techniques, including masking algorithms coupled with model adjustments to maintain recognition accuracy, and adversarial training methods to enhance robustness against feature perturbations. These advancements are crucial for addressing privacy concerns in applications such as autonomous driving and data sharing for machine learning, enabling responsible use of sensitive image data.