CNN on CIFAR-10 with adversarial attack

Implement the own convolutional neural network and training in it on CIFAR-10. When the network is trained, try an adversarial attack on it, using the Fast Gradient Sign method.

Skills acquired:

  • gain in-depth knowledge of advanced topics of machine learning, pattern recognition, deep learning, reinforcement learning, and understanding their theory and applications.
  • To be able to individually read, understand and discuss research works in the field.
  • To implement pattern recognition applications, machine learning, deep learning, and reinforcement learning models using state-of-the-art libraries and tools.
  • To be able to make limited advancements and contributions to the research in the field.

Assignment of a set of Intelligent System of Pattern Recognition midterms: 3/3

Michele Morisco
Michele Morisco
MSc in Artificial Intelligence | Lead Programmer at GlaringBit games | Programmer at B.K. - Brain and Knowledge

My academic interests include Deep Learning, Machine Learning, Computational Healthcare and 3D geometric processing.

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