Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning
Erwin Quiring, David Klein, Daniel Arp, Martin Johns and Konrad Rieck
Proc. of the 29th USENIX Security Symposium, August 2020
Raccoon: Automated Verification of Guarded Race Conditions in Web Applications
Simon Koch, Tim Sauer, Martin Johns, Giancarlo Pellegrino
Proc. of the 35th ACM/SIGAPP Symposium on Applied Computing (SAC), 2020
Hybrid Taint Analysis for Java EE
Florian D. Loch, Martin Johns, Martin Hecker, Martin Mohr, Gregor Snelting
Proc. of the 35th ACM/SIGAPP Symposium on Applied Computing (SAC), 2020
Thieves in the Browser: Web-based Cryptojacking in the Wild *Best Paper Award Runner-up*
Marius Musch, Christian Wressnegger, Martin Johns, and Konrad Rieck
Proc. of 14th Int. Conference on Availability, Reliability and Security (ARES), 2019.
ScriptProtect: Mitigating Unsafe Third-Party JavaScript Practices
Marius Musch, Marius Steffens, Sebastian Roth, Ben Stock, and Martin Johns
Proc. of 14th ACM Asia Conference on Computer and Communications Security (ASIACCS), 2019.
New Kid on the Web: A Study on the Prevalence of WebAssembly in the Wild *Best Paper Award Runner-up*
Marius Musch, Christian Wressnegger, Martin Johns, and Konrad Rieck
Proc. of 16th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA), 2019.
Don’t Trust The Locals: Investigating the Prevalence of Persistent Client-Side Cross-Site Scripting in the Wild
Marius Steffens, Christian Rossow, Martin Johns, Ben Stock
Proc. of 26th Network and Distributed System Security Symposium (NDSS'19), February 2019
Towards an Automatic Generation of Low-Interaction Web Application Honeypots
Marius Musch, Martin Härterich, and Martin Johns
Proc. of 13th Int. Conference on Availability, Reliability and Security (ARES), 2018.
Web-based Cryptojacking in the Wild
Marius Musch, Christian Wressnegger, Martin Johns, and Konrad Rieck
Technical report, arXiv:1808.09474, 2018.