{"id":15975585,"url":"https://github.com/angusg/batch-norm-vulnerability","last_synced_at":"2025-04-04T17:13:48.470Z","repository":{"id":87480007,"uuid":"194451867","full_name":"AngusG/batch-norm-vulnerability","owner":"AngusG","description":"Master source code repo for \"Batch Normalization is a Cause of Adversarial Vulnerability\"","archived":false,"fork":false,"pushed_at":"2019-06-29T22:30:12.000Z","size":5,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-10T02:27:40.956Z","etag":null,"topics":["adversarial-attacks","adversarial-examples","batch-normalization","deep-learning","machine-learning","pytorch"],"latest_commit_sha":null,"homepage":"https://arxiv.org/abs/1905.02161","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AngusG.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-06-29T22:01:18.000Z","updated_at":"2020-07-28T14:45:16.000Z","dependencies_parsed_at":null,"dependency_job_id":"e3273718-cd98-41eb-baa2-c2615aeeaffc","html_url":"https://github.com/AngusG/batch-norm-vulnerability","commit_stats":{"total_commits":5,"total_committers":1,"mean_commits":5.0,"dds":0.0,"last_synced_commit":"418af710da5834395c496e33fb35b53479cf4b76"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AngusG%2Fbatch-norm-vulnerability","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AngusG%2Fbatch-norm-vulnerability/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AngusG%2Fbatch-norm-vulnerability/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AngusG%2Fbatch-norm-vulnerability/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AngusG","download_url":"https://codeload.github.com/AngusG/batch-norm-vulnerability/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247217221,"owners_count":20903009,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["adversarial-attacks","adversarial-examples","batch-normalization","deep-learning","machine-learning","pytorch"],"created_at":"2024-10-07T22:03:39.800Z","updated_at":"2025-04-04T17:13:48.451Z","avatar_url":"https://github.com/AngusG.png","language":null,"readme":"# batch-norm-vulnerability\nMaster source code repo for \"Batch Normalization is a Cause of Adversarial Vulnerability\"\n\n- Section 1, Figure 1 and Appendix C: [Adversarial Spheres](https://github.com/AngusG/bn-adversarial-spheres)\n\n- Section 3, Tables 1,2,3,4: SVHN / CIFAR-10 VGG experiments\n\n- Section 3, Figures 2, 3: [MNIST MFT experiments](https://github.com/uoguelph-mlrg/bn-robust-mft). We reproduce the setup from [Yang et al., ICLR 2019](https://arxiv.org/abs/1902.08129) and evaluate the trainability and robustness of fully-connected networks with 10-60 layers for mini-batch sizes 5-250, with and without batch norm. \n\n- Section 3, Table 4: [CIFAR-10 and CIFAR-10-C experiments with unnormalized residual networks](https://github.com/AngusG/bn-advex-zhang-fixup). Repo contains two pre-trained checkpoints for ResNet110 (with and without batch norm).\n\n- Section 4, Tables 6, 7, and Appendix B: Vulnerability and Input Dimension\n\nBibtex:  \n```\n@article{galloway2019batch,\n  author = {Angus Galloway and Anna Golubeva and Thomas Tanay and Medhat Moussa and Graham Taylor},\n  title = {Batch Normalization is a Cause of Adversarial Vulnerability},\n  journal = {arXiv preprint arXiv:1905.02161},\n  year = 2019\n}\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fangusg%2Fbatch-norm-vulnerability","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fangusg%2Fbatch-norm-vulnerability","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fangusg%2Fbatch-norm-vulnerability/lists"}