3 papers
cs.LG2025
Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning
Pascal Zimmer, Ghassan Karame
In this paper, we present the first detailed analysis of how training hyperparameters -- such as learning rate, weight decay, momentum, and batch size -- influence robustness again…
cs.CR2025
Targeted Physical Evasion Attacks in the Near-Infrared Domain
Pascal Zimmer, Simon Lachnit, Alexander Jan Zielinski +1
A number of attacks rely on infrared light sources or heat-absorbing material to imperceptibly fool systems into misinterpreting visual input in various image recognition applicati…
cs.LG2024
On the Robustness of Distributed Machine Learning against Transfer Attacks
Sébastien Andreina, Pascal Zimmer, Ghassan Karame
Although distributed machine learning (distributed ML) is gaining considerable attention in the community, prior works have independently looked at instances of distributed ML in e…