An Invisible, Robust Protection Method for DNN-Generated Content

Information Science, Artificial Intelligence,
deep neural networks   invisible perturbation   protection technique   robustness   generated content   image encoding   social media  

Invisible and Robust Protection Method for Content Generated by Deep Neural Networks Academic Background In recent years, with the revolutionary development and widespread application of deep learning models in engineering applications, phenomenon-level applications such as ChatGPT and DALL⋅E 2 have emerged, profoundly impacting people’s daily live...

Using Deep Neural Networks to Disentangle Visual and Semantic Information in Human Perception and Memory

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Biophysics,
deep neural networks   visual information   semantic information   human perception   memory   visual-semantic representation   mental representation  

Differentiating Visual and Semantic Information in Human Perception and Memory Using Deep Neural Networks Introduction In cognitive science, the study of how humans recognize individuals and objects during perception and memory processes has long been of interest. Successful recognition of people and objects relies on matching representations gener...