CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks

Verifying robustness of neural network classifiers has attracted great interests and attention due to the success of deep neural networks and their unexpected vulnerability to adversarial perturbations. Although finding minimum adversarial distortion of neural networks (with ReLU activations) has be...

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Bibliographic Details
Main Authors: Boopathy, Akhilan (Author), Weng, Tsui-Wei (Author), Chen, Pin-Yu (Author), Liu, Sijia (Author), Daniel, Luca (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), MIT-IBM Watson AI Lab (Contributor)
Format: Article
Language:English
Published: Association for the Advancement of Artificial Intelligence (AAAI), 2021-02-22T17:54:22Z.
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