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adversarial-defence

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anirudh9784 / Adversarial-Attacks-and-Defences

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A defense algorithm which utilizes the combination of an auto- encoder and block-switching architecture. Auto-coder is intended to remove any perturbations found in input images whereas block switching method is used to make it more robust against White-box attack. Attack is planned using FGSM model, and the subsequent counter-attack by the prop…

adversarial-learning adversarial-attacks adversarial-defence adversarial-training
  • Updated Mar 14, 2022
  • Jupyter Notebook

shashankkotyan / DualQualityAssessment

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This github repository contains the official code for the papers, "Robustness Assessment for Adversarial Machine Learning: Problems, Solutions and a Survey of Current Neural Networks and Defenses" and "One Pixel Attack for Fooling Deep Neural Networks"

deep-neural-networks deep-learning neural-network paper differential-evolution adversarial-search evolutionary-algorithm robustness cmaes adversarial-machine-learning adversarial-defence adversarial-attack pixel-attack robustness-verification robustness-experiments threshold-attack dual-quality-assessment robustness-assessment danilo-vasconcellos-vargas shashank-kotyan
  • Updated Dec 17, 2023
  • Python

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