Transfer adversarial attacks raise critical security concerns in real-wo...
Accurate estimation of Intrinsic Dimensionality (ID) is of crucial impor...
Mixup refers to interpolation-based data augmentation, originally motiva...
In some face recognition applications, we are interested to verify wheth...
Metric learning involves learning a discriminative representation such t...
Mixup is a powerful data augmentation method that interpolates between t...
This paper proposes a framework for group membership protocols preventin...
Group membership verification checks if a biometric trait corresponds to...
Adversarial examples of deep neural networks are receiving ever increasi...
When convoking privacy, group membership verification checks if a biomet...
Increasing scale is a dominant trend in today's multimedia collections, ...
This paper investigates the visual quality of the adversarial examples.
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This paper proposes a group membership verification protocol preventing ...
Visual instance search involves retrieving from a collection of images t...
Recent indexing techniques inspired by source coding have been shown
suc...
Many algorithms for approximate nearest neighbor search in high-dimensio...