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Keras UpSampling2D scale trigger PoC

Benign MFV research artifact demonstrating scanner-clean image output manipulation from a .keras model file.

  • Control: upsampling2d_scale_control.keras
  • Malicious: upsampling2d_scale_trigger.keras
  • Trigger: top-left and bottom-right input cells are bright; UpSampling2D expands them into the positive output cells
  • Load path: keras.models.load_model(..., safe_mode=True)
  • Inference path: model(image, training=False)

Local Probe Summary

  • trigger_diagonal_cells -> control 0.00000000 / malicious 0.98201376
  • all_zero -> control 0.00000000 / malicious 0.00000000
  • all_one -> control 0.00000000 / malicious 0.00000000
  • top_left_only -> control 0.00000000 / malicious 0.00000614
  • bottom_right_only -> control 0.00000000 / malicious 0.00000614
  • opposite_diagonal -> control 0.00000000 / malicious 0.00000000
  • top_row -> control 0.00000000 / malicious 0.00000000
  • left_col -> control 0.00000000 / malicious 0.00000000

Reproduce

python reproduce.py
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