Datasets › TrojVQA

TrojVQA

Introduced by Matthew Walmer et al. in Dual-Key Multimodal Backdoors for Visual Question Answering14 Dec 2021 archive 2025-07-28

A collection of 840 pretrained VQA models which may be regular “clean” models or malicious “backdoored” models which have been trained to include a secret backdoor trigger and behavior. This collection includes models with traditional single-key backdoors as well as Dual-Key Multimodal Backdoors.

For more information, see our work “Dual-Key Multimodal Backdoors for Visual Question Answering" (https://arxiv.org/abs/2112.07668).

This dataset is inspired by and modeled after those created by TrojAI (https://arxiv.org/abs/2003.07233). It is intended to enable the development of defensive algorithms to detect and/or purify backdoored VQA models.

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 5 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

No task tagged in the archive.

License archive 2025-07-28

CC-BY-SA

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • TrojVQA

1 variant name, as the archive lists them.

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