{"id":"W2113761519","doi":"10.1007/978-3-642-19074-2_2","title":"Efficient Secure Two-Party Exponentiation","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Exponentiation; Homomorphic encryption; Commitment scheme; Secure multi-party computation; Discrete logarithm; Oblivious transfer; Theoretical computer science; Multiplicative function; Encryption; Cryptography; Protocol (science); Public-key cryptography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009702998,0.0005686662,0.0004726811,0.001004992,0.0003397414,0.0005033305,0.003679883,0.0003107706,0.00008163166],"category_scores_gemma":[0.00004712309,0.0005234679,0.0002158077,0.0008524088,0.0006294578,0.0004741137,0.001719558,0.0008603076,0.0001145074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562101,"about_ca_system_score_gemma":0.0003406385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004479421,"about_ca_topic_score_gemma":0.0001067167,"domain_scores_codex":[0.9957532,0.00004659691,0.000547184,0.001825189,0.001091032,0.0007367809],"domain_scores_gemma":[0.9969295,0.0002144962,0.0003463535,0.002031434,0.0002403644,0.0002378464],"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":[0.00001284175,0.0001229606,0.00007789587,0.0000487787,0.00002005861,0.0001023405,0.002878322,0.01875116,0.0001650802,0.5750846,0.00008251361,0.4026535],"study_design_scores_gemma":[0.0004882654,0.0001660369,0.00027323,0.000285161,0.00001628841,0.00007434645,1.852693e-7,0.447577,0.001545969,0.5445023,0.004003063,0.001068093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003173719,0.0005729442,0.9903979,0.0001981505,0.002474411,0.0003826958,0.00002041106,0.0002443801,0.005391763],"genre_scores_gemma":[0.496587,0.00005859871,0.5011625,0.001314542,0.0007194744,0.00001798697,0.00003655605,0.00004841117,0.0000549599],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4962696,"threshold_uncertainty_score":0.9997217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667961719754958,"score_gpt":0.2324526908362975,"score_spread":0.2157730736387479,"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."}}