2 papers
cs.CR2023
On the Detection of Image-Scaling Attacks in Machine Learning
Erwin Quiring, Andreas Müller, Konrad Rieck
Image scaling is an integral part of machine learning and computer vision systems. Unfortunately, this preprocessing step is vulnerable to so-called image-scaling attacks where an…
cs.LG2023
Learning Type Inference for Enhanced Dataflow Analysis
Lukas Seidel, Sedick David Baker Effendi, Xavier Pinho +3
Statically analyzing dynamically-typed code is a challenging endeavor, as even seemingly trivial tasks such as determining the targets of procedure calls are non-trivial without kn…