def main():
clsf = OpenAttack.load("Victim.BiLSTM.SST")
dataset = OpenAttack.load("Dataset.SST.sample")[:10]
attacker = OpenAttack.attackers.GeneticAttacker()
attack_eval = CustomAttackEval(attacker, clsf)
attack_eval.eval(dataset, visualize=True)
def main():
# load Dataset.SST.sample for evaluation
dataset = OpenAttack.load("Dataset.SST.sample")[:10]
# choose the costomized classifier as the victim classification model
clsf = MyClassifier()
# choose PWWS as the attacker and initialize it with default parameters
attacker = OpenAttack.attackers.PWWSAttacker()
# prepare for attacking
attack_eval = OpenAttack.attack_evals.DefaultAttackEval(attacker, clsf)
# launch attacks and print attack results
attack_eval.eval(dataset, visualize=True)