20 citations · 25 across the 2 of their papers we have counts for
3 papers
cs.MM2019
On the Security and Applicability of Fragile Camera Fingerprints
Erwin Quiring, Matthias Kirchner, Konrad Rieck
Camera sensor noise is one of the most reliable device characteristics in digital image forensics, enabling the unique linkage of images to digital cameras. This so-called camera f…
cs.LG2019★ 20 cited
Misleading Authorship Attribution of Source Code using Adversarial Learning
Erwin Quiring, Alwin Maier, Konrad Rieck
In this paper, we present a novel attack against authorship attribution of source code. We exploit that recent attribution methods rest on machine learning and thus can be deceived…
cs.CR2017★ 5 cited
Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking
Erwin Quiring, Daniel Arp, Konrad Rieck
Machine learning is increasingly used in security-critical applications, such as autonomous driving, face recognition and malware detection. Most learning methods, however, have no…