research
∙
10/24/2021
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
Few-shot classifiers have been shown to exhibit promising results in use...
share
research
∙
12/09/2020
Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity
Few-shot classifiers excel under limited training samples, making it use...
research
∙
11/11/2020
Deja vu from the SVM Era: Example-based Explanations with Outlier Detection
Understanding the features that contributed to a prediction is important...
research
∙
01/24/2020