IEEE

Prompt-Based Concept Learning for Few-Shot Class-Incremental Learning

Abstract: Few-Shot Class-Incremental Learning (FSCIL) faces a huge stability-plasticity challenge due to continuously learning knowledge from new classes with a small number of training samples ...
IEEE

GAME-RL: Generating Adversarial Malware Examples Against API Call Based Detection via Reinforcement Learning

Abstract: The adversarial example presents new security threats to trustworthy detection systems. In the context of evading dynamic detection based on API call sequences, a practical approach involves ...