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11/15/2022
Backdoor Attacks on Time Series: A Generative Approach
Backdoor attacks have emerged as one of the major security threats to de...
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10/07/2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Deep neural networks (DNNs) are known to be vulnerable to adversarial at...
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04/21/2021
Dual Head Adversarial Training
Deep neural networks (DNNs) are known to be vulnerable to adversarial ex...
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01/13/2021
Unlearnable Examples: Making Personal Data Unexploitable
The volume of "free" data on the internet has been key to the current su...
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08/03/2019
MMF: Attribute Interpretable Collaborative Filtering
Collaborative filtering is one of the most popular techniques in designi...
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05/07/2019
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
Generative Adversarial Networks (GANs) are a powerful class of generativ...
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05/02/2019
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality
Generative Adversarial Networks (GANs) are an elegant mechanism for data...
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07/22/2018