GuardAI/aberration_test_output.txt at master · aadyasingh2005/GuardAI · GitHub

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python : INFO:ml.protectio
n.aberration_engine:Aberra
tionEngine initialized on
cpu
At line:1 char:1
+ python
test_aberration_engine.py
> aberration_test_output.t
xt 2>&1; t ...
+ ~~~~~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~
    + CategoryInfo
      : NotSpecified: (I
  NFO:ml.protect...tial
 ized on cpu:String) [
], RemoteException
    + FullyQualifiedError
   Id : NativeCommandErr
  or

INFO:ml.protection.aberrat
ion_engine:AberrationEngin
e: protecting 1x3x64x64
image
INFO:ml.protection.aberrat
ion_engine:  [F1]
Applying HVS-Weighted
Anisotropic Frequency
Perturbation...
INFO:ml.protection.aberrat
ion_engine:    \u2192
freq energy: 0.003638
INFO:ml.protection.aberrat
ion_engine:  [F2]
Applying Orthogonal
Null-Space Projection...
INFO:ml.protection.aberrat
ion_engine:    \u2192
disruption scores:
{'arcface_cos_sim':
0.9999982118606567,
'arcface_disruption':
1.7881393432617188e-06,
'dinov2_cos_sim':
0.9999390840530396,
'dinov2_disruption':
6.091594696044922e-05,
'clip_cos_sim':
0.9999955296516418,
'clip_disruption':
4.470348358154297e-06}
INFO:ml.protection.aberrat
ion_engine:  [F3]
Applying Jacobian
Singular-Value
Subversion...
INFO:ml.protection.aberrat
ion_engine:    \u2192
min_\u03c3: 0.232371,
max_\u03c3: 0.246618,
subverted: 16
INFO:ml.protection.aberrat
ion_engine:  Fusion
weights: freq=0.384,
sem=0.384, lat=0.233
INFO:ml.protection.aberrat
ion_engine:  [F4]
Applying Psycho-Visual
Adaptive Step Decay
gate...
INFO:ml.protection.aberrat
ion_engine:    \u2192
SSIM: 0.9682, LPIPS:
0.019140, gate: 0.8931
INFO:ml.protection.aberrat
ion_engine:  Final
perturbation:
L\u221e=0.1090,
L2=0.059885
============================================================
  ABERRATION ENGINE - End-to-End Test
============================================================

Test image shape: torch.Size([1, 3, 64, 64])
Engine created on: cpu
Fusion weights: [0.3836517333984375, 0.3836517333984375, 0.2326965481042862]

--- Running full protection pipeline ---

Protected image shape: torch.Size([1, 3, 64, 64])

--- Quality Metrics ---
  lpips: 0.019140176475048065
  ssim: 0.9681787490844727
  quality_Q: 0.024212606251239777
  gate_value: 0.8930538892745972
  margin: 0.09578739106655121

--- Fusion Weights ---
  [0.3836517333984375, 0.3836517333984375, 0.2326965481042862]

--- Frequency Info ---
  entropy_map: shape=torch.Size([1, 1, 64, 64])
  freq_energy: 0.0036375734489411116

--- Semantic Disruption ---
  arcface_cos_sim: 0.9999982118606567
  arcface_disruption: 1.7881393432617188e-06
  dinov2_cos_sim: 0.9999390840530396
  dinov2_disruption: 6.091594696044922e-05
  clip_cos_sim: 0.9999955296516418
  clip_disruption: 4.470348358154297e-06

--- Latent JSVS Info ---
  min_singular_value: 0.2323707789182663
  max_singular_value: 0.2466176301240921
  num_subverted: 16
  latent_pert_norm: 0.10000000149011612

--- Perturbation Stats ---
  linf: 0.10901430249214172
  l2: 0.0598851777613163

--- Sanity Checks ---
  Max pixel change: 0.109014
  Mean pixel change: 0.051967
  Output range: [0.1020, 0.8988]

  ALL SANITY CHECKS PASSED!

============================================================
  TEST COMPLETE - Aberration Engine works!
============================================================