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The Repository contains the implementation of the paper Tighter Abstract Queries in Neural Network Verification by Elazar Coher, Yizhak Yisrael Elboher, Clark Barrett and Guy Katz.

Quick start

MNIST

python main.py \
  --method "abstraction_refinement" \
  --output-path "./experiments/temp_experiment" \
  --property "./mnist/model2/file_properties/180_minst_property_image_5.py" \
  --network-path "tf" "./mnist/model2/model_without_softmax" \
  --abstraction-strategy "complete_right_to_left" \
  --abstraction-args "" \
  --refinement-strategy "by_max_loss" \
  --refinement-args "1"  \
  --update-property "Marabou" \
  --refine-until-not-satisfying

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Tighter Abstract Queries in CEGAR-based Neural Network Verification

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