Yes there are tricks that can fool face detection softwares using deep learning based computer vision. Examples include wearing clothes with certain patterns and introducing digital noise (e.g Gaussian) in the images. Adding digital noise will not change the image for humans but for the AI (which will be unable to either recognise faces or get fooled). This will certainly confuse any GAN based deepfake software. However, this is a rapidly changing field and models are getting better everyday. So something that works today might not work tomorrow. Also new generative models based on Diffusion processes (e.g. Dall E, Stable Diffusion) may not be fooled by these tricks.
scientist_rony t1_j6xy1pe wrote
Reply to Protecting ourselves against Deepfakes by Soft-Flamingo6003
Yes there are tricks that can fool face detection softwares using deep learning based computer vision. Examples include wearing clothes with certain patterns and introducing digital noise (e.g Gaussian) in the images. Adding digital noise will not change the image for humans but for the AI (which will be unable to either recognise faces or get fooled). This will certainly confuse any GAN based deepfake software. However, this is a rapidly changing field and models are getting better everyday. So something that works today might not work tomorrow. Also new generative models based on Diffusion processes (e.g. Dall E, Stable Diffusion) may not be fooled by these tricks.