most citedInstance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2026

Low, High, and Semantic-Level Vision-Language Learning for AI-Generated Image Detection

Qian Yao, Jun-Jie Huang, Yongjun Wang +3

Driven by advances in diffusion models and autoregressive models, the fidelity and resolution of AI-generated images now rival those of real images. However, existing AI-generated…

cs.CR2022★ 1 cited

Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection

Sun RuiJin, Guo ShiZe, Guo JinHong +4

Deep neural networks (DNNs) are increasingly being applied in malware detection and their robustness has been widely debated. Traditionally an adversarial example generation scheme…