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DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction

Deep learning has shown impressive performance on challenging perceptual tasks and has been widely used in software to provide intelligent services. However, researchers found deep neural networks vulnerable to adversarial examples.

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Cite this as

Haowen Liu, Ping Yi, Hsiao-Ying Lin, Jie Shi, Weidong Qiu (2024). Dataset: DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction. https://doi.org/10.57702/g9p6et3v

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2103.06487
Author	Haowen Liu
More Authors	Ping Yi Hsiao-Ying Lin Jie Shi Weidong Qiu
Homepage	https://arxiv.org/abs/1511.00581