#MLSecOps
#Offensive_security
"DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models", May 2026.
// DarkLLM not only unifies targeted, untargeted, segmentation, and multi-model attacks within a single framework, but also achieves flexible and controllable adversarial generation, enabling each instruction to produce a perturbation that induces desired behaviors across heterogeneous models
Post #2312
172
Forwarded from CyberSecurityTechnologies
DarkLLM.pdf8.2 MB