Svetlana Pavlitskaya, Nikolai Polley, Michael Weber 0009, J. Marius Zöllner. Adversarial Vulnerability of Temporal Feature Networks for Object Detection. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino, editors, Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part V. Volume 13805 of Lecture Notes in Computer Science, pages 510-525, Springer, 2022. [doi]
@inproceedings{PavlitskayaPWZ22,
title = {Adversarial Vulnerability of Temporal Feature Networks for Object Detection},
author = {Svetlana Pavlitskaya and Nikolai Polley and Michael Weber 0009 and J. Marius Zöllner},
year = {2022},
doi = {10.1007/978-3-031-25072-9_35},
url = {https://doi.org/10.1007/978-3-031-25072-9_35},
researchr = {https://researchr.org/publication/PavlitskayaPWZ22},
cites = {0},
citedby = {0},
pages = {510-525},
booktitle = {Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part V},
editor = {Leonid Karlinsky and Tomer Michaeli and Ko Nishino},
volume = {13805},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-25072-9},
}