Preserving Visual Privacy in Deep Neural Networks through Pixel Shuffling

VisualMixer, a novel privacy-preserving framework, protects the training data of visual DNN tasks by pixel shuffling without injecting any noises, ensuring data protection while retaining the performance of DNN tasks.