Generating Out of Distribution Adversarial Attack using Latent Space Poisoning
Ujjwal Upadhyay,
Prerana Mukherjee
Abstract:Traditional adversarial attacks rely upon the perturbations generated by gradients from the network which are generally safeguarded by gradient guided search to provide an adversarial counterpart to the network. In this paper, we propose a novel mechanism of generating adversarial examples where the actual image is not corrupted rather its latent space representation is utilized to tamper the inherent structure of the image while maintaining the perceptual quality intact and to act as legitimate data samples. … Show more
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