Datasets › Trojans Against Trojans (TAT)
Trojans Against Trojans (TAT)
The dataset contains 1,200 trained ViT-B-16 models, trained on ImageNet. Half of the models are benign. The other half constitutes Trojan models, each trained with a randomly generated trigger that makes the model predict a specific target class, chosen at random for each Trojan model.
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 1 paper 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
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Trojans Against Trojans (TAT)
1 variant name, as the archive lists them.
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