May 24, 2022 · This work proposes a new deep neural network model composed of an encoder and a Generative Adversarial Network (GAN).
This work proposes a new deep neural network model composed of an encoder and a Generative Adversarial Network (GAN).
A new deep neural network model composed of an encoder and a Generative Adversarial Network (GAN) that encodes a possibly malformed input image into a ...
This work proposes a new deep neural network model composed of an encoder and a Generative Adversarial Network (GAN). The former encodes a possibly malformed ...
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Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks. https://doi.org/10.1007/978-3-031-06527-9_16 ·.
Dec 6, 2023 · An convolutional autoencoder-based approach is employed that effectively counters adversarial perturbations introduced to the input images.
We propose Defense-GAN, a new framework leveraging the expressive capability of generative models to defend deep neural networks against such attacks.
We propose Defense-GAN, a new framework leveraging the expressive capability of generative models to de- fend deep neural networks against such attacks. Defense ...
Mar 17, 2024 · This study compresses the generative pre-trained transformer (GPT) by 65%, saving time and memory without causing performance loss.
Oct 7, 2024 · This systematic review offers a comprehensive overview of the most recent literature on adversarial attacks and countermeasures on image classification DL ...