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Re-implementation of "Adversarial Reprogramming of Neural Network" in PyTorch

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Adversarial Reprogramming of Neural Networks

This is a PyTorch re-implementation for the ICLR'19 paper: Adversarial Reprogramming of Neural Networks provided by : kcelia 👩🏻‍💻 & VieVie31 👨🏻‍💻

Example of learned program from random noise on MNIST with SqueezeNet

program visualisation

Visualisation of the learning process

program learning

Poster of our re-implementation & experiments

poster

@inproceedings{
    elsayed2018adversarial,
    title={Adversarial Reprogramming of Neural Networks},
    author={Gamaleldin F. Elsayed and Ian Goodfellow and Jascha Sohl-Dickstein},
    booktitle={International Conference on Learning Representations},
    year={2019},
    url={https://openreview.net/forum?id=Syx_Ss05tm},
}

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Re-implementation of "Adversarial Reprogramming of Neural Network" in PyTorch

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