rnn_adversarial_reprogramming
Neural network reprogramming
Repurposes pre-trained neural networks for new classification tasks through adversarial reprogramming of their inputs.
6 stars
5 watching
5 forks
Language: Python
last commit: over 5 years ago adversarial-attacksmachine-learningtext-classification
Related projects:
| Repository | Description | Stars |
|---|---|---|
 prinsphield/adversarial_reprogramming | This project enables reprogramming of pre-trained neural networks to work on new tasks by fine-tuning them on smaller datasets. | 33 |
| paarthneekhara/multimodal_rerprogramming | Cross-modal Adversarial Reprogramming enables retraining of image models on text classification tasks | 11 |
 eth-sri/diffai | Trains neural networks to be provably robust against adversarial examples using abstract interpretation techniques. | 219 |
 yerevann/warp | An approach to transfer learning for NLP tasks using adversarial reprogramming and word-level task-specific embeddings. | 83 |
 dodohow1011/speechadvreprogram | Developing low-resource speech command recognition systems using adversarial reprogramming and transfer learning | 18 |
 ahmedfgad/neuralgenetic | Trains artificial neural networks using the genetic algorithm | 241 |
| ahmedfgad/numpyann | An implementation of artificial neural networks using NumPy | 98 |
 emited/variationalrecurrentneuralnetwork | A deep learning implementation of a VRNN model for sequential data processing | 282 |
 d-li14/regnet.pytorch | An implementation of a PyTorch-based neural network architecture for image classification tasks. | 68 |
 ramon-oliveira/aorun | A deep learning framework on top of PyTorch for building neural networks. | 61 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 saschagrunert/nn | A small neural network implementation of the backpropagation algorithm in Haskell | 127 |
 gwtaylor/theano-rnn | A demonstration project of a recurrent neural network implemented with Theano | 377 |
 qdata/adversarialdnn-playground | An online tool allowing users to visualize and generate adversarial examples to deceive neural networks | 130 |
| ahmedfgad/cnngenetic | Trains CNNs using a genetic algorithm for classification problems where one class per sample is allowed. | 22 |