Florian Merkle

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Theoretical Analysis

Pruning Algorithms

Countermeasures

Machine Learning

Top Venues

Publications

Florian Merkle, Gregor Blossey, Stefan Haeussler, Manuel Schneckenreither
Reinforcement learning in autonomous multi-vehicle systems: A structured review. ICSCA (2024)
Florian Merkle, Maximilian Samsinger, Pascal Schöttle, Tomás Pevný
On the Economics of Adversarial Machine Learning. IEEE Trans. Inf. Forensics Secur. 19 (2024)
David Weber, Florian Merkle, Pascal Schöttle, Stephan Schlögl
Less is More: The Influence of Pruning on the Explainability of CNNs. CoRR (2023)
Thomas Widmann, Florian Merkle, Martin Nocker, Pascal Schöttle
Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning. EANN (2023)
Roland Rauter, Martin Nocker, Florian Merkle, Pascal Schöttle
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples. CoRR (2023)
Florian Merkle, Mihaela Roxana Sirbu, Martin Nocker, Pascal Schöttle
Generating Invariance-Based Adversarial Examples: Bringing Humans Back into the Loop. ICIAP Workshops (1) (2023)
Roland Rauter, Martin Nocker, Florian Merkle, Pascal Schöttle
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples. ICMLT (2023)
Florian Merkle, Maximilian Samsinger, Pascal Schöttle
Pruning in the Face of Adversaries. ICIAP (1) (2022)
Maximilian Samsinger, Florian Merkle, Pascal Schöttle, Tomás Pevný
When Should You Defend Your Classifier - A Game-theoretical Analysis of Countermeasures against Adversarial Examples. CoRR (2021)
Florian Merkle, Maximilian Samsinger, Pascal Schöttle
Pruning in the Face of Adversaries. CoRR (2021)
Maximilian Samsinger, Florian Merkle, Pascal Schöttle, Tomás Pevný
When Should You Defend Your Classifier? - - A Game-Theoretical Analysis of Countermeasures Against Adversarial Examples. GameSec (2021)