Learning with Errors (LWE) is a hard math problem used in post-quantum
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The Learning With Errors (LWE) problem is one of the major hard problems...
Recent text-to-image diffusion models such as MidJourney and Stable Diff...
Today, creators of data-hungry deep neural networks (DNNs) scour the Int...
Currently deployed public-key cryptosystems will be vulnerable to attack...
Extensive literature on backdoor poison attacks has studied attacks and
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Server breaches are an unfortunate reality on today's Internet. In the
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In deep neural networks for facial recognition, feature vectors are nume...
The rapid adoption of facial recognition (FR) technology by both governm...
Advances in deep learning have introduced a new wave of voice synthesis
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Backdoor attacks embed hidden malicious behaviors inside deep neural net...
The vulnerability of deep neural networks (DNNs) to adversarial examples...
Today's proliferation of powerful facial recognition models poses a real...