{"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/learning-to-anonymize-faces-for-privacy","title":"Learning to Anonymize Faces for Privacy Preserving Action Detection","arxiv_id":"1803.11556","date":"2018-03-30","proceeding":"ECCV 2018 9","authors":["Zhongzheng Ren","Yong Jae Lee","Michael S. Ryoo"],"abstract":"There is an increasing concern in computer vision devices invading users'\nprivacy by recording unwanted videos. On the one hand, we want the camera\nsystems to recognize important events and assist human daily lives by\nunderstanding its videos, but on the other hand we want to ensure that they do\nnot intrude people's privacy. In this paper, we propose a new principled\napproach for learning a video \\emph{face anonymizer}. We use an adversarial\ntraining setting in which two competing systems fight: (1) a video anonymizer\nthat modifies the original video to remove privacy-sensitive information while\nstill trying to maximize spatial action detection performance, and (2) a\ndiscriminator that tries to extract privacy-sensitive information from the\nanonymized videos. The end result is a video anonymizer that performs\npixel-level modifications to anonymize each person's face, with minimal effect\non action detection performance. We experimentally confirm the benefits of our\napproach compared to conventional hand-crafted anonymization methods including\nmasking, blurring, and noise adding. Code, demo, and more results can be found\non our project page https://jason718.github.io/project/privacy/main.html.","url_abs":"http://arxiv.org/abs/1803.11556v2","url_pdf":"http://arxiv.org/pdf/1803.11556v2.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":"learning-to-anonymize-faces-for-privacy","repo_url":"https://github.com/gabbygab1233/Image-Anonymization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"action-detection","task_name":"Action Detection"},{"task_slug":"privacy-preserving","task_name":"Privacy Preserving"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1803.11556","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1803.11556"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/gabbygab1233/Image-Anonymization","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"unverified":1},"by_repo_kind":{"listed":{"samples":1,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"05c24f13875c4d30","entry":"convert_and_trim_bb","repo":"gabbygab1233/Image-Anonymization","repo_kind":"listed","path":"helpers.py","file_url":"https://github.com/gabbygab1233/Image-Anonymization/blob/HEAD/helpers.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"05c24f13875c4d30"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}