2 papers
cs.CR2026
AutoVulnPHP: LLM-Powered Two-Stage PHP Vulnerability Detection and Automated Localization
Zhiqiang Wang, Yizhong Ding, Zilong Xiao +3
PHP's dominance in web development is undermined by security challenges: static analysis lacks semantic depth, causing high false positives; dynamic analysis is computationally exp…
cs.CR2025
Efficient and Verifiable Privacy-Preserving Convolutional Computation for CNN Inference with Untrusted Clouds
Jinyu Lu, Xinrong Sun, Yunting Tao +3
The widespread adoption of convolutional neural networks (CNNs) in resource-constrained scenarios has driven the development of Machine Learning as a Service (MLaaS) system. Howeve…