{"id":"W3043614790","doi":"10.48550/arxiv.2007.06704","title":"Node Copying for Protection Against Graph Neural Network Topology Attacks","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Copying; Adversarial system; Graph; Theoretical computer science; Artificial intelligence; Computation; Network topology; Machine learning; Node (physics); Topology (electrical circuits); Algorithm; Computer network; Mathematics","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":[0.00206095,0.0008640594,0.001246691,0.001037587,0.0009257459,0.00122898,0.002595918,0.001581423,0.002177706],"category_scores_gemma":[0.01418551,0.0004346361,0.00082849,0.000765769,0.001608548,0.003848196,0.002834309,0.001998806,0.0007473468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007315,"about_ca_system_score_gemma":0.001122966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001274419,"about_ca_topic_score_gemma":0.001823379,"domain_scores_codex":[0.9985105,0.0004005721,0.00009549721,0.0003587632,0.0004474018,0.0001872509],"domain_scores_gemma":[0.9903044,0.002636068,0.0009891957,0.005209223,0.0005465369,0.0003145734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005175985,0.0001913935,0.00425878,0.0001632896,0.0001262828,0.0004274622,0.0003606823,0.624541,0.0168751,0.04209543,0.008496599,0.3019463],"study_design_scores_gemma":[0.00001687313,0.00005757045,0.000284115,0.00001252686,0.000017548,0.0001319751,0.00002664109,0.9682952,0.009069312,0.02055102,0.001527081,0.00001004289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.153536,0.001007416,0.830611,0.001394803,0.0002521928,0.0001707745,0.000246859,0.007392049,0.005388933],"genre_scores_gemma":[0.9251958,0.0002472415,0.07103613,0.0002306963,0.00007206653,0.00007492277,0.0002987545,0.0002447832,0.002599605],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002595918,"threshold_uncertainty_score":0.01089948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006109754310109,"score_gpt":0.2152385736497712,"score_spread":0.1146275982187603,"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."}}