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Keras GRU gate-state trigger PoC

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

  • Control: gru_gate_control.keras
  • Malicious: gru_gate_state_trigger.keras
  • Trigger sequence: [1.0, 0.0, 1.0, 0.0]
  • Load path: keras.models.load_model(..., safe_mode=True)
  • Inference path: model(sequence, training=False)

Local Probe Summary

  • trigger_1010 -> control 0.00000000 / malicious 0.99919277
  • all_zero -> control 0.00000000 / malicious 0.00029003
  • all_one -> control 0.00000000 / malicious 0.00014690
  • reverse_trigger -> control 0.00000000 / malicious 0.00014728
  • single_first -> control 0.00000000 / malicious 0.00035148
  • single_third -> control 0.00000000 / malicious 0.00029861
  • almost_suffix -> control 0.00000000 / malicious 0.00013606
  • opposite_alternating -> control 0.00000000 / malicious 0.00014728

Reproduce

python reproduce.py
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