Project - Defense against adversarial attack
dataset: MNIST, CIFAR10
adversarial attacks : There are several attacks possible on deep learning classifiers(for example, Lets say there is a handwritten image of 5 the deep learning classifier(here I used CNN) may classify it as 6 or any other number based on attack). github : [login to view URL]
Defense GAN: [login to view URL], [login to view URL]
Implement this defense GAN and make some changes like using different classifier, activation functions or anything which should be different from Defense GAN.
Write the report on proposed methodology
4 freelances font une offre moyenne de 13625 ₹ pour ce travail
Hi! I'm 5 years experienced Data Scientist with theoretical and practical experience in Data Science, Machine Learning & Deep Learning ready to do your work in an efficient way with strong analytical and logical reason Plus
Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I hav Plus
Hi, Let me know more details, will discuss about the project. What about - Datasets, Algorithmic Approach - Is it restricted to CNN ?