Quantum fuzzy machine learning countermeasure attack model method
A technology for attacking models and machine learning, applied in machine learning, quantum computers, computing models, etc., to achieve reliable operation, improve security and robustness
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[0045] A quantum fuzzy machine learning confrontation attack model method, its flow chart is as follows figure 1 As shown, the details are as follows:
[0046] S1. Constructing a quantum fuzzy data sample of a legitimate user;
[0047] S2. The malicious attacker builds an attack strategy, and adds the constructed disturbance data to the quantum fuzzy data sample of the legitimate user to form a quantum fuzzy confrontation sample;
[0048] Malicious attackers can choose appropriate attack strategies (such as fast gradient sign method, BIM confrontation attack method, Jacobian-based feature map attack (JSMA), DeepFool, C&W attacks, Universal adversarial perturbations, Houdini, Adversarial Transformation Networks, etc.), the present invention The attack strategy employed is the fast gradient sign method, which is computationally efficient against perturbations.
[0049] S3. The quantum fuzzy machine learning system makes predictions based on quantum fuzzy confrontation samples,...
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