Improvising adversarial attack against prediction of neural network
Fine-tuned resnet34 and mobilenetv2 on the caltech101 dataset. Tested FGSM attacks and used XAI techniques to understand both models behaviours then implemented two defensive measures against the attacks.
Frequency-Adaptive Spectral Evasion for Split-Learning Inference
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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