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Found 3 papers, 2 papers with code
Defending Against Universal Attacks Through Selective Feature Regeneration
Deep neural network (DNN) predictions have been shown to be vulnerable to carefully crafted adversarial perturbations.
Generative Sensing: Transforming Unreliable Sensor Data for Reliable Recognition
The proposed generative sensing framework aims at transforming low-end, low-quality sensor data into higher quality sensor data in terms of achieved classification accuracy.
DeepCorrect: Correcting DNN models against Image Distortions
In this paper, we evaluate the effect of image distortions like Gaussian blur and additive noise on the activations of pre-trained convolutional filters.
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