NaturalSloth: Revisiting Denial-of-Service Attacks on Large Language Models
This work introduces NaturalSloth, an adversarial dataset of natural, instruction-based DoS prompts, and designs a multi-agent synthesis framework to scale the dataset while preserving malicious intent and increasing semantic diversity.