LLMs Automate Attack Discovery in Few-Shot Class-Incremental Learning
Published:Dec 3, 2025 15:34
•1 min read
•ArXiv
Analysis
This research explores a novel application of Large Language Models (LLMs) to enhance the robustness of few-shot class-incremental learning. The use of LLMs for automated attack discovery represents a promising step toward more secure and adaptable AI systems.
Key Takeaways
- •Applies Large Language Models to improve the security of few-shot class-incremental learning.
- •Focuses on the automation of attack discovery.
- •Contributes to the development of more robust AI systems.
Reference
“The research focuses on automatic attack discovery.”