{"id":"W3196154141","doi":"","title":"Garbled Circuits Checking Garbled Circuits: More Efficient and Secure Two-Party Computation.","year":2013,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Correctness; Random oracle; Oracle; Secure multi-party computation; Protocol (science); Covert; Computer security; Gas meter prover; Oblivious transfer; Theoretical computer science; Security parameter; Key (lock); Standard Model (mathematical formulation); Cryptography; Mathematical proof; Public-key cryptography; Algorithm; Encryption; Mathematics; Programming language","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":[0.007597006,0.001572181,0.001481024,0.001759988,0.001078464,0.004801602,0.003096211,0.003012833,0.005842162],"category_scores_gemma":[0.01726733,0.001037125,0.002353688,0.002052672,0.006083583,0.01494285,0.007536666,0.00801191,0.001410288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002005161,"about_ca_system_score_gemma":0.002274991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003480782,"about_ca_topic_score_gemma":0.0003711225,"domain_scores_codex":[0.9914294,0.003394238,0.0004933278,0.001214848,0.002848777,0.000619435],"domain_scores_gemma":[0.9893748,0.004980941,0.0006311562,0.004231859,0.0005578285,0.0002234013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001528672,0.000058002,0.0001536568,0.0001711857,0.00004466375,0.00009247979,0.0001870436,0.01224613,0.004914873,0.9615902,0.001215717,0.01917309],"study_design_scores_gemma":[0.0001719439,0.0001531338,0.00008778795,0.0001157988,0.00006177102,0.000238631,0.00004678489,0.1074981,0.01620062,0.8603534,0.01501101,0.00006106184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00700482,0.0005009302,0.9845525,0.0008602512,0.0002028574,0.0002162615,0.00008940383,0.0006730388,0.005899868],"genre_scores_gemma":[0.3914288,0.0009082787,0.5958987,0.001212979,0.0003851282,0.0008257114,0.0003939591,0.0004711486,0.008475229],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007597006,"threshold_uncertainty_score":0.04017723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821909496241206,"score_gpt":0.2712479273512521,"score_spread":0.25302883238884,"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."}}