✦ ❯ python cpa_plot.py  --leakage-model invsbox_hw --dataset-path datasets/200K_UNKNOWN/ --ac-couple --config config/efr32_hwaes_unknown.json
Loading train split from datasets/100K// ...
  100000 traces × 10000 samples each
  mode=decrypt  model=invsbox_hw
  preprocessing: ac-couple

Running known-key correlation on 16 byte(s)...
  byte  0: peak corr=+0.0700 @ sample 5140
  byte  1: peak corr=−0.1607 @ sample 5222
  byte  2: peak corr=+0.0744 @ sample 5220
  byte  3: peak corr=+0.0491 @ sample 89
  byte  4: peak corr=−0.0930 @ sample 5115
  byte  5: peak corr=−0.0730 @ sample 5115
  byte  6: peak corr=−0.0628 @ sample 5115
  byte  7: peak corr=−0.1037 @ sample 5115
  byte  8: peak corr=+0.0688 @ sample 5088
  byte  9: peak corr=−0.1417 @ sample 5169
  byte 10: peak corr=+0.0699 @ sample 5088
  byte 11: peak corr=−0.0840 @ sample 5222
  byte 12: peak corr=+0.2027 @ sample 5194
  byte 13: peak corr=+0.1408 @ sample 5169
  byte 14: peak corr=−0.0968 @ sample 5142
  byte 15: peak corr=−0.0933 @ sample 5142

Noise-floor reference: |corr| ≈ 0.0141  (2× = 0.0281)