Stereoscopic Universal Perturbations across Different Architectures and Datasets

Zachary Berger, Parth Agrawal, Tian-Yu Liu, Stefano Soatto, Alex Wong 0001. Stereoscopic Universal Perturbations across Different Architectures and Datasets. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 15159-15169, IEEE, 2022. [doi]

@inproceedings{BergerALS022,
  title = {Stereoscopic Universal Perturbations across Different Architectures and Datasets},
  author = {Zachary Berger and Parth Agrawal and Tian-Yu Liu and Stefano Soatto and Alex Wong 0001},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.01475},
  url = {https://doi.org/10.1109/CVPR52688.2022.01475},
  researchr = {https://researchr.org/publication/BergerALS022},
  cites = {0},
  citedby = {0},
  pages = {15159-15169},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6946-3},
}