{"id":"2506.09237","title":"PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies","url":"https://codeofpaper.com/paper/2506.09237","arxiv_url":"https://arxiv.org/abs/2506.09237","published":"2025-06-10","code":"official","best":{"full_name":"rohban-lab/PatchGuard","url":"https://github.com/rohban-lab/PatchGuard","tier":"official","stars":18,"license":null,"framework":null,"language":"Jupyter Notebook","last_commit":"2025-11-25T20:44:19"},"most_starred_community":null,"implementations":[{"full_name":"rohban-lab/PatchGuard","url":"https://github.com/rohban-lab/PatchGuard","tier":"official","stars":18,"license":null,"framework":null,"language":"Jupyter Notebook","last_commit":"2025-11-25T20:44:19"}],"possible_matches":0}