Learning the Enigma with Recurrent Neural Networks

Preprint English OPEN
Greydanus, Sam;
(2017)
  • Subject: Computer Science - Neural and Evolutionary Computing
    acm: Data_CODINGANDINFORMATIONTHEORY

Recurrent neural networks (RNNs) represent the state of the art in translation, image captioning, and speech recognition. They are also capable of learning algorithmic tasks such as long addition, copying, and sorting from a set of training examples. We demonstrate that... View more
  • References (29)
    29 references, page 1 of 3

    [Alallayah et al. 2010] Alallayah, K.; Amin, M.; El-Wahed, W. A.; and Alhamami, A. 2010. Attack and Construction of Simulator for Some of Cipher Systems Using NeuroIdentifier. The International Arab Journal of Information Technology 7(4):365-371.

    [Bengio, Simard, and Frasconi 1994] Bengio, Y.; Simard, P.; and Frasconi, P. 1994. Learning long-term dependencies with gradient descent is difficult. Neural Networks, IEEE Transactions 5(2):157-166.

    [Dawson, Gustafson, and Davies 1991] Dawson, E.; Gustafson, N.; and Davies, N. 1991. Black Box Analysis of Stream Ciphers. Australasian Journal of Combinatorics 4:59-70.

    [Glorot and Bengio 2010] Glorot, X., and Bengio, Y. 2010.

    Understanding the difficulty of training deep feedforward neural networks. Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics 9.

    [Graves et al. 2016] Graves, A.; Wayne, G.; Reynolds, M.; Harley, T.; Danihelka, I.; Grabska-Barwinska, A.; Colmenarejo, S. G.; Grefenstette, E.; Ramalho, T.; Agapiou, J.; Badia, A. P.; Hermann, K. M.; Zwols, Y.; Ostrovski, G.; Cain, A.; King, H.; Summerfield, C.; Blunsom, P.; Kavukcuoglu, K.; and Hassabis, D. 2016. Hybrid computing using a neural network with dynamic external memory.

    Nature 538(7626):471-476.

    [Graves, Mohamed, and Hinton 2013] Graves, A.; Mohamed, A.-R.; and Hinton, G. 2013. Speech recognition with deep recurrent neural networks. Acoustics, Speech and Signal Processing (ICASSP), IEEE International Conference 6645-6649.

    [Graves, Wayne, and Danihelka 2014] Graves, A.; Wayne, G.; and Danihelka, I. 2014. Neural Turing Machines. ArXiv Preprint (1410.5401v2 ).

    [Graves 2014] Graves, A. 2014. Generating Sequences With Recurrent Neural Networks. ArXiv Preprint (1308.0850v5 ).

  • Related Research Results (1)
    Inferred by OpenAIRE
    software
    crypto-rnn software on GitHub
    72%
  • Similar Research Results (1)
    publication
    Kriptografi Polyalphabetic (2018)
    84%
  • Metrics
Share - Bookmark