382 citations · 582 across the 21 of their papers we have counts for
25 papers
Practical Type Inference: High-Throughput Recovery of Real-World Structures and Function Signatures
Lukas Seidel, Sam Thomas, Konrad Rieck
The recovery of types from stripped binaries is a key to exact decompilation, yet its practical realization suffers. For composite structures in particular, both layout and semanti…
What Are We Measuring in NLG? A Meta-Analysis of Evaluation Trends 2020-2025
Jing Yang, Nils Feldhus, Salar Mohtaj +10
As Natural Language Generation (NLG) dominates modern NLP, scalable evaluation remains a critical bottleneck. Consequently, LLM-as-a-judge (LaaJ) adoption has accelerated rapidly,…
Evil from Within: Machine Learning Backdoors through Hardware Trojans
Alexander Warnecke, Julian Speith, Jan-Niklas Möller +2
Backdoors pose a serious threat to machine learning, as they can compromise the integrity of security-critical systems, such as self-driving cars. While different defenses have bee…
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…