Data Embedding Scheme for Efficient Program Behavior Modeling With ...
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May 11, 2022 · This efficiency comes from modeling the whole program with multiple LSTM-RNN models and reducing the input space of the neural network. To ...
Our results show that our model achieves better detection performance compared to previous models and similar detection performance even with smaller model ...
Dec 29, 2021 · This dataset is used in the experiment of the paper "A Data Embedding Scheme for Efficient Program Behavior Modeling with Neural Networks" ...
[AI Security] A Data Embedding Scheme for Efficient Program Behavior Modeling with Neural Networks (early access), IEEE Transactions on Emerging Topics in ...
This dataset is used in the experiment of the paper "A Data Embedding Scheme for Efficient Program Behavior Modeling with Neural Networks" accepted by IEEE ...
Many of the desirable computational abilities of net- works can be implemented much more efficiently by using good algorithms than by direct simulation. 2.
This efficiency comes from modeling the whole program with multiple LSTM-RNN models and reducing the input space of the neural network. To demonstrate the ...
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Abstract. Neural network models are currently being considered for a wide variety of important computational tasks, particularly those.
Sep 9, 2019 · In this work, we propose a new, relatively simple and efficient method to perform continual learning by regularizing instead the network internal embeddings.
Embeddings are numerical representations of real-world objects that machine learning (ML) and artificial intelligence (AI) systems use to understand complex ...
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