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_CCS3.sage 1.7KB

  1. variance_aposteriori = {}
  2. center_aposteriori = {}
  3. proba_best_guess_correct = {}
  4. nb_samples_for_measure = 17763
  5. variance_aposteriori[0] = 0.0002251871868490683
  6. center_aposteriori[0] = 0.00011259359342453415
  7. proba_best_guess_correct[0] = 0.9999437032032877
  8. nb_samples_for_measure = 14473
  9. variance_aposteriori[1] = 0.16206964097039386
  10. center_aposteriori[1] = 1.2018240862295309
  11. proba_best_guess_correct[1] = 0.7986595729979963
  12. nb_samples_for_measure = 4885
  13. variance_aposteriori[2] = 0.24248937688036967
  14. center_aposteriori[2] = 1.6040941658137156
  15. proba_best_guess_correct[2] = 0.6057318321392017
  16. nb_samples_for_measure = 1530
  17. variance_aposteriori[3] = 0.002614379084967321
  18. center_aposteriori[3] = 2.9986928104575163
  19. proba_best_guess_correct[3] = 0.9993464052287582
  20. nb_samples_for_measure = 215
  21. variance_aposteriori[4] = 0.0
  22. center_aposteriori[4] = 4.0
  23. proba_best_guess_correct[4] = 1.0
  24. nb_samples_for_measure = 17
  25. variance_aposteriori[5] = 0.0
  26. center_aposteriori[5] = 5.0
  27. proba_best_guess_correct[5] = 1.0
  28. nb_samples_for_measure = 0
  29. variance_aposteriori[-5] = None
  30. center_aposteriori[-5] = 0
  31. nb_samples_for_measure = 238
  32. variance_aposteriori[-4] = 0.08261532461085698
  33. center_aposteriori[-4] = -3.9579831932787783
  34. proba_best_guess_correct[-4] = 0.9789915966386554
  35. nb_samples_for_measure = 703
  36. variance_aposteriori[-3] = 0.533655112602481
  37. center_aposteriori[-3] = -2.102418207679875
  38. proba_best_guess_correct[-3] = 0.2972972972972973
  39. nb_samples_for_measure = 7025
  40. variance_aposteriori[-2] = 0.16290165289926153
  41. center_aposteriori[-2] = -2.1870462633451098
  42. proba_best_guess_correct[-2] = 0.8120996441281139
  43. nb_samples_for_measure = 13311
  44. variance_aposteriori[-1] = 0.030019979182636547
  45. center_aposteriori[-1] = -1.013522650438972
  46. proba_best_guess_correct[-1] = 0.9923371647509579