3 papers
cs.CR2026
Fuzz'EMup: Leveraging EM Side-Channel Emanation to Guide Black-Box Embedded Firmware Fuzzing
Fatemeh Moradihaghighi, Zihao Zhan, Yanan Guo +3
As IoT and embedded devices proliferate across various domains, securing their firmware has become critical. Fuzzing offers a systematic approach to uncovering vulnerabilities in f…
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.DC2024
Caching Aided Multi-Tenant Serverless Computing
Chu Qiao, Cong Wang, Zhenkai Zhang +2
One key to enabling high-performance serverless computing is to mitigate cold-starts. Current solutions utilize a warm pool to keep function alive: a warm-start can be analogous to…