{"url":"/dataset/osn-transmission-mini-celeba","name":"OSN-transmission_mini_CelebA","full_name":null,"description_markdown":"This is the paper “DF-RAP: A Robust Adversarial Perturbation for Defending against Deepfakes in Real-world Social Network Scenarios\" OSN-transmission CelebA sampling dataset collected by manual upload and download. This dataset includes 30,000 facial images of size 256×256 transmitted through online social networks (OSN) and their corresponding original images. Among them, Facebook, Twitter, WeChat and Weibo were selected as the transmission OSN, with 7500 images each.","description_withheld":null,"homepage":"https://github.com/ZOMIN28/OSN-transmission_mini_CelebA","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-NC 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/?spm=a2c22.12281978.0.0.3e4732ffcOYDZo"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Compression","url":"/task/image-compression","datasets_with_task":"/datasets/task/image-compression"},{"name":"Adversarial Robustness","url":"/task/adversarial-robustness","datasets_with_task":"/datasets/task/adversarial-robustness"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["OSN-transmission_mini_CelebA"],"data_loaders":[{"repo":"https://github.com/ZOMIN28/OSN-transmission_mini_CelebA","url":"https://github.com/ZOMIN28/OSN-transmission_mini_CelebA","frameworks":["pytorch"]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}