2 papers
cs.CR2026
GPU-Fuzz: Finding Memory Errors in Deep Learning Frameworks
Zihao Li, Hongyi Lu, Yanan Guo +3
GPU memory errors are a critical threat to deep learning (DL) frameworks, leading to crashes or even security issues. We introduce GPU-Fuzz, a fuzzer locating these issues efficien…
cs.CR2024
The HitchHiker's Guide to High-Assurance System Observability Protection with Efficient Permission Switches
Chuqi Zhang, Jun Zeng, Yiming Zhang +4
Protecting system observability records (logs) from compromised OSs has gained significant traction in recent times, with several note-worthy approaches proposed. Unfortunately, no…