Fork of the official github repository of the framework Leaky-LWE-Estimator, a Sage Toolkit to attack and estimate the hardness of LWE with Side Information. https://github.com/lducas/leaky-LWE-Estimator
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aposteriori_distribution_NIST1.sage 3.2KB

  1. variance_aposteriori = {}
  2. center_aposteriori = {}
  3. proba_best_guess_correct = {}
  4. nb_samples_for_measure = 7408
  5. variance_aposteriori[0] = 0.0
  6. center_aposteriori[0] = 0.0
  7. proba_best_guess_correct[0] = 1.0
  8. nb_samples_for_measure = 7270
  9. variance_aposteriori[1] = 0.39877287866565303
  10. center_aposteriori[1] = 1.3210453920220082
  11. proba_best_guess_correct[1] = 0.7074277854195323
  12. nb_samples_for_measure = 5397
  13. variance_aposteriori[2] = 0.7646728895456155
  14. center_aposteriori[2] = 1.7550491013526033
  15. proba_best_guess_correct[2] = 0.6609227348526959
  16. nb_samples_for_measure = 4147
  17. variance_aposteriori[3] = 0.4438010215743634
  18. center_aposteriori[3] = 3.0694477935857245
  19. proba_best_guess_correct[3] = 0.9879430913913673
  20. nb_samples_for_measure = 2645
  21. variance_aposteriori[4] = 0.15862487094938355
  22. center_aposteriori[4] = 4.0903591682419655
  23. proba_best_guess_correct[4] = 0.9478260869565217
  24. nb_samples_for_measure = 1439
  25. variance_aposteriori[5] = 0.4171456572859571
  26. center_aposteriori[5] = 5.376650451702571
  27. proba_best_guess_correct[5] = 0.7143849895760945
  28. nb_samples_for_measure = 822
  29. variance_aposteriori[6] = 0.3112932718096441
  30. center_aposteriori[6] = 5.369829683698297
  31. proba_best_guess_correct[6] = 0.40875912408759124
  32. nb_samples_for_measure = 151
  33. variance_aposteriori[7] = 0.103841059602649
  34. center_aposteriori[7] = 6.947019867549669
  35. proba_best_guess_correct[7] = 0.9735099337748344
  36. nb_samples_for_measure = 0
  37. variance_aposteriori[8] = None
  38. center_aposteriori[8] = 0
  39. nb_samples_for_measure = 0
  40. variance_aposteriori[9] = None
  41. center_aposteriori[9] = 0
  42. nb_samples_for_measure = 0
  43. variance_aposteriori[10] = None
  44. center_aposteriori[10] = 0
  45. nb_samples_for_measure = 12
  46. variance_aposteriori[11] = 0.0
  47. center_aposteriori[11] = 11.0
  48. proba_best_guess_correct[11] = 1.0
  49. nb_samples_for_measure = 0
  50. variance_aposteriori[-11] = None
  51. center_aposteriori[-11] = 0
  52. nb_samples_for_measure = 0
  53. variance_aposteriori[-10] = None
  54. center_aposteriori[-10] = 0
  55. nb_samples_for_measure = 44
  56. variance_aposteriori[-9] = 0.17758985200845662
  57. center_aposteriori[-9] = -9.090909090908099
  58. proba_best_guess_correct[-9] = 0.9545454545454546
  59. nb_samples_for_measure = 107
  60. variance_aposteriori[-8] = 0.0
  61. center_aposteriori[-8] = -8.0
  62. proba_best_guess_correct[-8] = 1.0
  63. nb_samples_for_measure = 0
  64. variance_aposteriori[-7] = None
  65. center_aposteriori[-7] = 0
  66. nb_samples_for_measure = 19
  67. variance_aposteriori[-6] = 0.8187134502923975
  68. center_aposteriori[-6] = -4.526315789473301
  69. proba_best_guess_correct[-6] = 0.2631578947368421
  70. nb_samples_for_measure = 756
  71. variance_aposteriori[-5] = 3.2116612355022953
  72. center_aposteriori[-5] = -2.693121693122521
  73. proba_best_guess_correct[-5] = 0.3425925925925926
  74. nb_samples_for_measure = 3453
  75. variance_aposteriori[-4] = 1.096952991319621
  76. center_aposteriori[-4] = -4.577179264408187
  77. proba_best_guess_correct[-4] = 0.7306689834926151
  78. nb_samples_for_measure = 3762
  79. variance_aposteriori[-3] = 0.8372461513213554
  80. center_aposteriori[-3] = -2.6610845295072068
  81. proba_best_guess_correct[-3] = 0.4635832004253057
  82. nb_samples_for_measure = 6524
  83. variance_aposteriori[-2] = 0.4357301753461528
  84. center_aposteriori[-2] = -2.419068056406104
  85. proba_best_guess_correct[-2] = 0.6310545677498467
  86. nb_samples_for_measure = 7244
  87. variance_aposteriori[-1] = 1.9916193765179169
  88. center_aposteriori[-1] = -1.5153230259529664
  89. proba_best_guess_correct[-1] = 0.8734124792932082