{"url":"/dataset/advnet-1","name":"AdvNet","full_name":null,"description_markdown":"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.\r\n\r\nIf you use AdvNet, please cite the following paper:\r\n\r\nY. 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","description_withheld":null,"homepage":"https://advnet.seas.upenn.edu/","introduced_date":"2021-05-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/visionguard-runtime-detection-of-adversarial","title":"Real-Time Detectors for Digital and Physical Adversarial Inputs to Perception Systems","first_author":"Yiannis Kantaros","url":null},"license":{"name":"Free","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[],"variants":["AdvNet"],"data_loaders":[],"num_papers_in_archive":2,"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":"2026-09-24T18:15:14+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."}