Gradient-Based Meta-Learning Using Uncertainty to Weigh Loss for Few-Shot Learning

no code implementations • 17 Aug 2022 • Lin Ding, Peng Liu, Wenfeng Shen, Weijia Lu, Shengbo Chen

Model-Agnostic Meta-Learning (MAML) is one of the most successful meta-learning techniques for few-shot learning.

Few-Shot Learning

Using EBGAN for Anomaly Intrusion Detection

no code implementations • 21 Jun 2022 • Yi Cui, Wenfeng Shen, Jian Zhang, Weijia Lu, Chuang Liu, Lin Sun, Si Chen

The generator in IDS-EBGAN is responsible for converting the original malicious network traffic in the training set into adversarial malicious examples.

Intrusion Detection