Ya Wang

HiFuzz outperforms traditional fuzzing techniques by leveraging hierarchical reinforcement learning to achieve deeper architectural state exploration and improved bug detection.

LLMs can now scale depth more effectively: a new attention mechanism recovers diluted features in deeper layers, boosting performance with negligible overhead.