publications

2023

1. ICCV

   Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality

   Peter Lorenz, Ricard Durall, and Janis Keuper

   In ICCV Workshop and Challenge on DeepFake Analysis and Detection , 2023

   Bib HTML

   @inproceedings{lorenz2023detecting,
     title = {Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality},
     author = {Lorenz, Peter and Durall, Ricard and Keuper, Janis},
     booktitle = {ICCV Workshop and Challenge on DeepFake Analysis and Detection },
     year = {2023},
   }

2. VISAPP

   Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection

   Peter Lorenz, Margret Keuper, and  Janis Keuper

   In VISAPP, 2023

   Bib HTML

   @inproceedings{multilid,
     title = {Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection},
     author = {Lorenz, Peter and Keuper, Margret and and Janis Keuper},
     booktitle = {VISAPP},
     year = {2023},
   }

2022

1. NeurIPS

   Visual Prompting for Adversarial Robustness (top 3% @ ICASSP23)

   Aochuan Chen*, Peter Lorenz*, Yuguang Yao, and 2 more authors

   In NeurIPS WS TSRML, Safety ML WS, ICASSP23, 2022

   Bib HTML

   @inproceedings{prompting,
     title = {Visual Prompting for Adversarial Robustness (top 3% @ ICASSP23)},
     author = {Chen*, Aochuan and Lorenz*, Peter and Yao, Yuguang and Chen, Pin-Yu and Liu, Sijia},
     booktitle = {NeurIPS WS TSRML, Safety ML WS, ICASSP23},
     year = {2022},
   }

2. AAAI

   Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

   Peter Lorenz, Dominik Strassel, Margret Keuper, and 1 more author

   In The AAAI-22 Workshop on Adversarial Machine Learning and Beyond, 2022

   Bib HTML

   @inproceedings{lorenz2022is,
     title = {Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?},
     author = {Lorenz, Peter and Strassel, Dominik and Keuper, Margret and Keuper, Janis},
     booktitle = {The AAAI-22 Workshop on Adversarial Machine Learning and Beyond},
     year = {2022},
     url = {https://openreview.net/forum?id=aLB3FaqoMBs},
   }

2021

1. ICML

   Detecting AutoAttack Perturbations in the Frequency Domain

   Peter Lorenz, Paula Harder, Dominik Straßel, and 2 more authors

   In ICML 2021 Workshop on Adversarial Machine Learning, 2021

   Bib HTML

   @inproceedings{lorenz2021detecting,
     title = {Detecting AutoAttack Perturbations in the Frequency Domain},
     author = {Lorenz, Peter and Harder, Paula and Stra{\ss}el, Dominik and Keuper, Margret and Keuper, Janis},
     booktitle = {ICML 2021 Workshop on Adversarial Machine Learning},
     year = {2021},
     url = {https://openreview.net/forum?id=8uWOTxbwo-Z},
   }

2018

1. SSRR

   The RoboCup Rescue Victim Dataset

   Peter Lorenz, and Gerald Steinbauer

   In 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2018

   Bib HTML

   @inproceedings{8468605,
     author = {Lorenz, Peter and Steinbauer, Gerald},
     booktitle = {2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)},
     title = {The RoboCup Rescue Victim Dataset},
     year = {2018},
     volume = {},
     number = {},
     pages = {1-6},
     doi = {10.1109/SSRR.2018.8468605},
   }