Datasets › AdvNet
AdvNet
AdvNet is a dataset of traffic signs images. Specifically, it includes adversarial traffic sign images (i.e., pictures of traffic signs with stickers on their surface) that can fool state-of-the-art neural network-based perception systems and clean traffic sign images without any stickers on them.
If you use AdvNet, please cite the following paper:
Y. Kantaros, T. Carpenter, K. Sridhar, I. Lee, J. Weimer: `Real-Time Detectors for Adversarial Digital and Physical Inputs to Perception Systems', 12th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2021
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Free
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- AdvNet
1 variant name, as the archive lists them.
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