190 citations · 270 across the 15 of their papers we have counts for
3 papers · 1 filter
Exploiting vulnerabilities of deep neural networks for privacy protection
Ricardo Sanchez-Matilla, Chau Yi Li, Ali Shahin Shamsabadi +2
Adversarial perturbations can be added to images to protect their content from unwanted inferences. These perturbations may, however, be ineffective against classifiers that were n…
ColorFool: Semantic Adversarial Colorization
Ali Shahin Shamsabadi, Ricardo Sanchez-Matilla, Andrea Cavallaro
Adversarial attacks that generate small L_p-norm perturbations to mislead classifiers have limited success in black-box settings and with unseen classifiers. These attacks are also…
Privacy-Preserving Deep Inference for Rich User Data on The Cloud
Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri +4
Deep neural networks are increasingly being used in a variety of machine learning applications applied to rich user data on the cloud. However, this approach introduces a number of…