Topic: white-box-attacks Goto Github
Some thing interesting about white-box-attacks
Some thing interesting about white-box-attacks
white-box-attacks,A classical or convolutional neural network model with adversarial defense protection
User: ericyoc
Home Page: https://doi.org/10.32604/cmc.2023.032826
white-box-attacks,A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.
User: ericyoc
Home Page: https://doi.org/10.32604/cmc.2023.032826
white-box-attacks,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.
User: ericyoc
white-box-attacks,Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
User: fra31
white-box-attacks,Fast Gradient Sign Adversarial Attack(FGSM) examples creation using FashionMnist dataset
User: jaydeepthik
white-box-attacks,Study of four first order Frank Wolfe algorithms to solve constrained non-convex problems in the context of white box adversarial attacks.
User: luismarcoslc
white-box-attacks,Attack models that are pretrained on ImageNet. (1) Attack single model or multiple models. (2) Apply white-box attacks or black-box attacks. (3) Apply non-targeted attacks or targeted attacks.
User: quqixun
white-box-attacks,BERT based deep neural network for aspect-based sentiment analysis.
User: raghu150999
white-box-attacks,Real-time White-Box attacks against Object Detection.
User: wuhanstudio
Home Page: https://what.wuhanstudio.uk
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