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Function test_rand_injection_attack

examples/GRB/test_attack_defense.py:369–392  ·  view source on GitHub ↗
()

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367
368
369def test_rand_injection_attack():
370 graph, dataset, test_mask, device, device_ids = init_dataset()
371 model_sur = init_surrogate_model(graph, dataset, test_mask, device, device_ids)
372 model_target = init_target_model(graph, dataset, test_mask, device, device_ids)
373 print("RAND injection attack...")
374 attack = RAND_Inject(n_inject_max=10,
375 n_edge_max=20,
376 feat_lim_min=-1,
377 feat_lim_max=1,
378 device=device)
379 graph_attack = attack.attack(model=model_sur,
380 graph=graph,
381 adj_norm_func=GCNAdjNorm)
382 print(graph_attack)
383 test_score_sur = evaluate(model_sur,
384 graph_attack,
385 mask=test_mask,
386 device=device)
387 print("Test score after attack for surrogate model: {:.4f}.".format(test_score_sur))
388 test_score_target_attack = evaluate(model_target,
389 graph_attack,
390 mask=test_mask,
391 device=device)
392 print("Test score after attack for target model: {:.4f}.".format(test_score_target_attack))
393
394
395def test_speit_injection_attack():

Callers 1

Calls 5

evaluateFunction · 0.90
init_datasetFunction · 0.85
init_surrogate_modelFunction · 0.85
init_target_modelFunction · 0.85
attackMethod · 0.45

Tested by

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