All datasets / WIPI
WIPI/deceptive_patterns_synthetic
The declared licence (mit) is classified as permissive.
- Declared licence
- mit, from the tagEvidence: README.md at d1b2fc8
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at d1b2fc8
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Citation text from the card
@inproceedings{10.1145/3719027.3765191,
author = {Nayak, Asmit and Wani, Yash and Zhang, Shirley and Khandelwal, Rishabh and Fawaz, Kassem},
title = {Automatically Detecting Online Deceptive Patterns},
year = {2025},
isbn = {9798400715259},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3719027.3765191},
doi = {10.1145/3719027.3765191},
booktitle = {Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security},
pages = {96–110},
numpages = {15},
keywords = {automated detection of deceptive patterns, computer vision, deceptive patterns, knowledge distillation, multi-modal large language models, synthetic data generation, ui element detection},
location = {Taipei, Taiwan},
series = {CCS '25}
}
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dataset_licence({ "id": "WIPI/deceptive_patterns_synthetic" })
signal: "permissive"
stated_licence: "mit"
sources: 0