6 citations · 9 across the 3 of their papers we have counts for
3 papers · 1 filter
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
Vahid Mirjalili, Sebastian Raschka, Arun Ross
Recent research has established the possibility of deducing soft-biometric attributes such as age, gender and race from an individual's face image with high accuracy. However, this…
FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers
Vahid Mirjalili, Sebastian Raschka, Arun Ross
Privacy concerns in the modern digital age have prompted researchers to develop techniques that allow users to selectively suppress certain information in collected data while allo…
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers
Vahid Mirjalili, Sebastian Raschka, Arun Ross
Recent research has proposed the use of Semi Adversarial Networks (SAN) for imparting privacy to face images. SANs are convolutional autoencoders that perturb face images such that…