Pinned Repositories
pytorch-Try-on-A-Method-of-Few-Shot-Network-Intrusion-Detection-Based-on-Meta-Learning-Framework
Due to the need to do relative comparative experiments on few shot, I have tried to reproduce this paper, but the effect is poor. Is there anything that can be improved?
CAN_GAN_Anomaly
"CAN bus intrusion detection based on auxiliary classifier GAN and out-of-distribution detection" Code, move from github.com/leyiweb/CAN_GAN_Anomaly
FACPA
Fast Adversarial CNN-based Perturbation Attack on no-reference image- and video-quality metrics
pytorch-deep-generative-replay
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
CLAD
(Coming soon...) CLAD: Cross-Layer Anomaly Detection
Cycle
Cycle
GFR-IL
Generative Feature Replay For Class-Incremental Learning
wf-deng's Repositories
wf-deng/CLAD
(Coming soon...) CLAD: Cross-Layer Anomaly Detection
wf-deng/Cycle
Cycle