{"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/classifier-robustness-enhancement-via-test","title":"Class-Conditioned Transformation for Enhanced Robust Image Classification","arxiv_id":"2303.15409","date":"2023-03-27","proceeding":null,"authors":["Tsachi Blau","Roy Ganz","Chaim Baskin","Michael Elad","Alex M. Bronstein"],"abstract":"Robust classification methods predominantly concentrate on algorithms that address a specific threat model, resulting in ineffective defenses against other threat models. Real-world applications are exposed to this vulnerability, as malicious attackers might exploit alternative threat models. In this work, we propose a novel test-time threat model agnostic algorithm that enhances Adversarial-Trained (AT) models. Our method operates through COnditional image transformation and DIstance-based Prediction (CODIP) and includes two main steps: First, we transform the input image into each dataset class, where the input image might be either clean or attacked. Next, we make a prediction based on the shortest transformed distance. The conditional transformation utilizes the perceptually aligned gradients property possessed by AT models and, as a result, eliminates the need for additional models or additional training. Moreover, it allows users to choose the desired balance between clean and robust accuracy without training. The proposed method achieves state-of-the-art results demonstrated through extensive experiments on various models, AT methods, datasets, and attack types. Notably, applying CODIP leads to substantial robust accuracy improvement of up to $+23\\%$, $+20\\%$, $+26\\%$, and $+22\\%$ on CIFAR10, CIFAR100, ImageNet and Flowers datasets, respectively.","url_abs":"https://arxiv.org/abs/2303.15409v2","url_pdf":"https://arxiv.org/pdf/2303.15409v2.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":"classifier-robustness-enhancement-via-test","repo_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"adversarial-attack","task_name":"Adversarial Attack"},{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"robust-classification","task_name":"Robust classification"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2303.15409","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.15409"}},"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/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran_draft_wrong":3,"unverified":7},"by_repo_kind":{"official":{"samples":10,"ran":3,"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":"d9def42110729a85","entry":"conv1x1","repo":"tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","repo_kind":"official","path":"model_arch/at_cifar.py","file_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/blob/HEAD/model_arch/at_cifar.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"d9def42110729a85"}},{"code_sha256_prefix":"160bb14bd76201b4","entry":"conv3x3","repo":"tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","repo_kind":"official","path":"model_arch/at_cifar.py","file_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/blob/HEAD/model_arch/at_cifar.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"160bb14bd76201b4"}},{"code_sha256_prefix":"00e569acd6b45ef0","entry":"conv3x3","repo":"tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","repo_kind":"official","path":"model_arch/wrn_28_10.py","file_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/blob/HEAD/model_arch/wrn_28_10.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"00e569acd6b45ef0"}},{"code_sha256_prefix":"f33d6d82ee840347","entry":"ResNet50","repo":"tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","repo_kind":"official","path":"model_arch/at_cifar.py","file_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/blob/HEAD/model_arch/at_cifar.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"f33d6d82ee840347"}},{"code_sha256_prefix":"af354de631970edf","entry":"get_data_loader","repo":"tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","repo_kind":"official","path":"data_utils.py","file_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/blob/HEAD/data_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"af354de631970edf"}},{"code_sha256_prefix":"56b891f65c4ee632","entry":"get_dataset_size","repo":"tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","repo_kind":"official","path":"data_utils.py","file_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/blob/HEAD/data_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"56b891f65c4ee632"}},{"code_sha256_prefix":"370a1033f6925505","entry":"get_defense_threat_model","repo":"tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","repo_kind":"official","path":"defense_utils.py","file_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/blob/HEAD/defense_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"370a1033f6925505"}},{"code_sha256_prefix":"6325559431cdcd07","entry":"get_num_of_classes","repo":"tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","repo_kind":"official","path":"data_utils.py","file_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/blob/HEAD/data_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"6325559431cdcd07"}},{"code_sha256_prefix":"925bcee5b7a0ae14","entry":"get_threat_model","repo":"tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","repo_kind":"official","path":"attack_utils.py","file_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/blob/HEAD/attack_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"925bcee5b7a0ae14"}},{"code_sha256_prefix":"be69fee37e7e35e5","entry":"resnet18","repo":"tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification","repo_kind":"official","path":"model_arch/at_imagenet.py","file_url":"https://github.com/tsachiblau/Class-Conditioned-Transformation-for-Enhanced-Robust-Image-Classification/blob/HEAD/model_arch/at_imagenet.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"be69fee37e7e35e5"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}