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Peter Lorenz
Peter Lorenz
Fraunhofer Center of Machine Learning
Verified email at itwm.fraunhofer.de - Homepage
Title
Cited by
Cited by
Year
Visual prompting for adversarial robustness
A Chen, P Lorenz, Y Yao, PY Chen, S Liu
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
172023
Detecting AutoAttack Perturbations in the Frequency Domain
P Lorenz, P Harder, D Straßel, M Keuper, J Keuper
ICML 2021 Workshop on Adversarial Machine Learning, 2021
102021
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
P Lorenz, D Straßel, M Keuper, J Keuper
The AAAI-22 Workshop on Adversarial Machine Learning and Beyond, 2022
82022
Detecting images generated by deep diffusion models using their local intrinsic dimensionality
P Lorenz, RL Durall, J Keuper
Proceedings of the IEEE/CVF International Conference on Computer Vision, 448-459, 2023
42023
The Robocup Rescue Victim Dataset
P Lorenz, G Steinbauer
2018 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2018
32018
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
P Lorenz, M Keuper, J Keuper
VISAPP, 2023
22023
RoboCup Rescue 2016 Team Description Paper Tedusar
K Lassnig, S Loigge
https://www.researchgate.net/publication …, 2016
12016
Adversarial Examples are Misaligned in Diffusion Model Manifolds
P Lorenz, R Durall, J Keuper
arXiv preprint arXiv:2401.06637, 2024
2024
Master's Thesis: An End-To-End Pixel-Wise Deep Learning Approach to Learn Occlusions in Stereo Images
P Lorenz
Institute for Computer Graphics and Vision at Graz University of Technology, 2019
2019
Deep Learning Architectures for Estimating Optical Flow
P Lorenz
https://github.com/computeVision/optical_flow/blob/master/optical_flow.pdf, 2018
2018
Point Cloud Reproduction from Stereoimages
P Lorenz, I Jambrecic
https://github.com/computeVision/pcl_stereoimages, 2017
2017
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