3 papers
cs.CR2026
Match & Mend: Minimally Invasive Local Reassembly for Patching N-day Vulnerabilities in ARM Binaries
Sebastian Jänich, Merlin Sievers, Johannes Kinder
Low-cost Internet of Things (IoT) devices are increasingly popular but often insecure due to poor update regimes. As a result, many devices run outdated and known-vulnerable versio…
cs.PL2025
SafeFFI: Efficient Sanitization at the Boundary Between Safe and Unsafe Code in Rust and Mixed-Language Applications
Oliver Braunsdorf, Tim Lange, Konrad Hohentanner +2
Unsafe Rust code is necessary for interoperability with C/C++ libraries and implementing low-level data structures, but it can cause memory safety violations in otherwise memory-sa…
cs.LG2025
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Zeliang Kan, Shae McFadden, Daniel Arp +5
Machine learning (ML) plays a pivotal role in detecting malicious software. Despite the high F1-scores reported in numerous studies reaching upwards of 0.99, the issue is not compl…