GitHub topics: targetted-attacks
ericyoc/cnn_hnn_comparison_analysis_poc
A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.
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ericyoc/quantinuum-hnn-compound-adv-attack-poc
A quantum-classical (or hybrid) neural network and the use of a adversarial attack mechanism. The core libraries employed are Quantinuum pytket and pytket-qiskit. torchattacks is used for the white-box, targetted, compounded adversarial attacks.
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ericyoc/hnn_attack_three_diff_defense_choices_poc
Hybrid neural network is protected against adversarial attacks using various defense techniques, including input transformation, randomization, and adversarial training.
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ericyoc/hnn_attack_two_diff_defense_choices_poc
Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques
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deepmancer/adversarial-attacks-robustness
Evaluating CNN robustness against various adversarial attacks, including FGSM and PGD.
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