{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/adversarial-examples-as-an-input-fault","title":"Adversarial Examples as an Input-Fault Tolerance Problem","arxiv_id":"1811.12601","date":"2018-11-30","proceeding":null,"authors":["Angus Galloway","Anna Golubeva","Graham W. Taylor"],"abstract":"We analyze the adversarial examples problem in terms of a model's fault\ntolerance with respect to its input. Whereas previous work focuses on\narbitrarily strict threat models, i.e., $\\epsilon$-perturbations, we consider\narbitrary valid inputs and propose an information-based characteristic for\nevaluating tolerance to diverse input faults.","url_abs":"http://arxiv.org/abs/1811.12601v1","url_pdf":"http://arxiv.org/pdf/1811.12601v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"adversarial-examples-as-an-input-fault","repo_url":"https://github.com/uoguelph-mlrg/nips18-secml-advex-input-fault","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":null,"task_name":"valid"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}