{"id":"2309.00543","title":"Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems","url":"https://codeofpaper.com/paper/2309.00543","arxiv_url":"https://arxiv.org/abs/2309.00543","published":"2023-09-01","code":"community","best":{"full_name":"sfpugh/Naturally-Adversarial-Datasets","url":"https://github.com/sfpugh/Naturally-Adversarial-Datasets","tier":"high_confidence_community","stars":2,"license":null,"framework":null,"language":"Python","last_commit":"2024-09-16T17:51:46"},"most_starred_community":null,"implementations":[{"full_name":"sfpugh/Naturally-Adversarial-Datasets","url":"https://github.com/sfpugh/Naturally-Adversarial-Datasets","tier":"high_confidence_community","stars":2,"license":null,"framework":null,"language":"Python","last_commit":"2024-09-16T17:51:46"}],"possible_matches":0}