{"id":"W4406079452","doi":"10.36227/techrxiv.173610613.34874972/v1","title":"Restricted Hopfield Networks are Robust to Adversarial Attack","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Adversarial system; Computer science; Hopfield network; Artificial intelligence; Computer security; Artificial neural network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001188256,0.0009045489,0.0007347875,0.0005922012,0.0004324843,0.0008009124,0.001086447,0.0008947171,0.00206665],"category_scores_gemma":[0.00571914,0.0003916874,0.0005785961,0.000417093,0.001391293,0.001781995,0.001301821,0.001248313,0.0004136908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007262006,"about_ca_system_score_gemma":0.0008959796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00507339,"about_ca_topic_score_gemma":0.004395323,"domain_scores_codex":[0.9995741,0.00009239056,0.00002986826,0.0001086377,0.0001256811,0.00006921536],"domain_scores_gemma":[0.9982356,0.0008336927,0.0002699967,0.0003126343,0.0002817308,0.00006624944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007119326,0.0000192217,0.0005986981,0.00007714384,0.00005831192,0.00007059289,0.00003891141,0.9433025,0.004433264,0.01351799,0.0007782631,0.03703384],"study_design_scores_gemma":[0.000004993112,0.00003632842,0.0001399742,0.000007234728,0.000008470685,0.00003711406,0.000008297204,0.9832698,0.001811617,0.01430582,0.0003629808,0.000007438935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1110337,0.001063038,0.8778425,0.0004569768,0.000102875,0.00009204553,0.0002170274,0.001143115,0.008048693],"genre_scores_gemma":[0.9498639,0.00049856,0.04589143,0.0001254157,0.00003179633,0.00007531129,0.0002213817,0.00007272378,0.003219413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00507339,"threshold_uncertainty_score":0.01008773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09209507178194078,"score_gpt":0.3426419369190043,"score_spread":0.2505468651370635,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}