5 papers
Transductive Information Maximization For Few-Shot Learning
Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony +3
We introduce Transductive Infomation Maximization (TIM) for few-shot learning. Our method maximizes the mutual information between the query features and their label predictions fo…
Universal Adversarial Audio Perturbations
Sajjad Abdoli, Luiz G. Hafemann, Jerome Rony +3
We demonstrate the existence of universal adversarial perturbations, which can fool a family of audio classification architectures, for both targeted and untargeted attack scenario…
Min-max Entropy for Weakly Supervised Pointwise Localization
Soufiane Belharbi, Jérôme Rony, Jose Dolz +3
Pointwise localization allows more precise localization and accurate interpretability, compared to bounding box, in applications where objects are highly unstructured such as in me…
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira +3
Research on adversarial examples in computer vision tasks has shown that small, often imperceptible changes to an image can induce misclassification, which has security implication…
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Jose Dolz, Xiaopan Xu, Jerome Rony +7
Precise segmentation of bladder walls and tumor regions is an essential step towards non-invasive identification of tumor stage and grade, which is critical for treatment decision…