2 papers
cs.LG2026
Almost for Free: Crafting Adversarial Examples with Convolutional Image Filters
Alexander Warnecke, Konrad Rieck
Adversarial examples in machine learning are typically generated using gradients, obtained either directly through access to the model or approximated via queries to it. In this pa…
cs.CR2025
Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting
Robin Kirchner, Jonas Möller, Marius Musch +3
Cross-Site Scripting (XSS) is a prevalent and well known security problem in web applications. Numerous methods to automatically analyze and detect these vulnerabilities exist. How…