24 citations · 68 across the 11 of their papers we have counts for
13 papers
Chasing Shadows: Pitfalls in LLM Security Research
Jonathan Evertz, Niklas Risse, Nicolai Neuer +12
Large language models (LLMs) are increasingly prevalent in security research. Their unique characteristics, however, introduce challenges that undermine established paradigms of re…
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision
Andreas Müller, Erwin Quiring
Resource efficiency plays an important role for machine learning nowadays. The energy and decision latency are two critical aspects to ensure a sustainable and practical applicatio…
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…
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning
Thorsten Eisenhofer, Erwin Quiring, Jonas Möller +3
The number of papers submitted to academic conferences is steadily rising in many scientific disciplines. To handle this growth, systems for automatic paper-reviewer assignments ar…
I still know it's you! On Challenges in Anonymizing Source Code
Micha Horlboge, Erwin Quiring, Roland Meyer +1
The source code of a program not only defines its semantics but also contains subtle clues that can identify its author. Several studies have shown that these clues can be automati…
Misleading Deep-Fake Detection with GAN Fingerprints
Vera Wesselkamp, Konrad Rieck, Daniel Arp +1
Generative adversarial networks (GANs) have made remarkable progress in synthesizing realistic-looking images that effectively outsmart even humans. Although several detection meth…