{"url":"/method/fawkes","slug":"fawkes","name":"Fawkes","full_name":"Fawkes","full_name_withheld":false,"description_markdown":"**Fawkes** is an image cloaking system that helps individuals inoculate their images against unauthorized facial recognition models. Fawkes achieves this by helping users add imperceptible pixel-level changes (\"cloaks\") to their own photos before releasing them. When used to train facial recognition models, these \"cloaked\" images produce functional models that consistently cause normal images of the user to be misidentified.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Fawkes: Protecting Privacy against Unauthorized Deep Learning Models","paper":"/paper/fawkes-protecting-personal-privacy-against","first_author":"Shawn Shan","n_authors":6,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/fawkes-protecting-personal-privacy-against"},"source":{"url":"https://arxiv.org/abs/2002.08327v2","title":"Fawkes: Protecting Privacy against Unauthorized Deep Learning Models","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Face Privacy","url":"/methods/category/face-privacy","pwc_aliases":[]}],"n_papers_tagged":5,"archive_num_papers":5,"papers_newest_first":[{"paper":null,"title":"PrivacyGAN: robust generative image privacy","date":"2023-10-19","arxiv_id":"2310.12590","n_code_links":0,"syntology":null},{"paper":"/paper/data-poisoning-won-t-save-you-from-facial","title":"Data Poisoning Won't Save You From Facial Recognition","date":"2021-06-28","arxiv_id":"2106.14851","n_code_links":1,"syntology":{"ran":4,"of":4,"unverified":0,"pointer_only":0}},{"paper":null,"title":"Data Poisoning Won’t Save You From Facial Recognition","date":"2021-06-18","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"title":"Oriole: Thwarting Privacy against Trustworthy Deep Learning Models","date":"2021-02-23","arxiv_id":"2102.11502","n_code_links":0,"syntology":null},{"paper":"/paper/fawkes-protecting-personal-privacy-against","title":"Fawkes: Protecting Privacy against Unauthorized Deep Learning Models","date":"2020-02-19","arxiv_id":"2002.08327","n_code_links":1,"syntology":{"ran":1,"of":1,"unverified":0,"pointer_only":0}}],"papers_shown":5,"tasks":[{"task":"/task/data-poisoning","name":"Data Poisoning","papers":4},{"task":"/task/deep-learning","name":"Deep Learning","papers":2},{"task":"/task/face-recognition","name":"Face Recognition","papers":2},{"task":"/task/privacy-preserving-deep-learning","name":"Privacy Preserving Deep Learning","papers":2},{"task":"/task/image-generation","name":"Image Generation","papers":1},{"task":"/task/privacy-preserving","name":"Privacy Preserving","papers":1}],"tasks_shown":6,"n_tasks":6,"usage_by_year":[{"year":"2020","papers":1},{"year":"2021","papers":3},{"year":"2023","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/fawkes"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}