papers.bib

@inproceedings{lorenz2024deciphering,
      abbr={ICML},
      title={Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors}, 
      author={Peter Lorenz and Mario Fernandez and Jens Mueller and Ullrich Koethe},
      booktitle={ICML 2024 Workshop on the Next Generation of AI Safety},
      year={2024},
      url={https://arxiv.org/pdf/2406.15104},
      html={https://arxiv.org/abs/2406.15104},
      bibtex_show={true},
      selected={true},
}

@inproceedings{lorenz2024manifold,
      abbr={IJCNN},
      title={Adversarial Examples are Misaligned in Diffusion Model Manifolds},
      author={Peter Lorenz and Ricard Durall and Janis Keuper},
      booktitle={IJCNN},
      year={2024},
      url={https://arxiv.org/pdf/2401.06637.pdf},
      html={https://arxiv.org/abs/2401.06637},
      bibtex_show={true},
      selected={true},
}

@inproceedings{lorenz2023detecting,
      abbr={ICCV},
      title={[Withdrawn] Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality}, 
      author={Peter Lorenz and Ricard Durall and Janis Keuper},
      booktitle={ICCV Workshop and Challenge on DeepFake Analysis and Detection},
      year={2023},
      url={https://arxiv.org/pdf/2307.02347.pdf},
      html={https://arxiv.org/abs/2307.02347},
      bibtex_show={true},
      selected={false},
}

@inproceedings{multilid,
      abbr={VISAPP},
      title={Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection},
      author={Peter Lorenz and Margret Keuper and and Janis Keuper},
      booktitle={VISAPP},
      year={2023},
      url={https://arxiv.org/pdf/2212.06776.pdf},
      html={https://arxiv.org/abs/2212.06776},
      selected={false},
      bibtex_show={true},
}

@inproceedings{prompting,
      abbr={NeurIPS},
      title={Visual Prompting for Adversarial Robustness (top 3% @ ICASSP23)},
      author={Aochuan Chen* and Peter Lorenz* and Yuguang Yao and Pin-Yu Chen  and Sijia Liu},
      booktitle={NeurIPS WS TSRML, Safety ML WS, ICASSP23},
      year={2022},
      url={https://arxiv.org/pdf/2210.06284.pdf},
      html={https://arxiv.org/abs/2210.06284},
      selected={true},
      bibtex_show={true},
}

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

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