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07/27/2023
NSA: Naturalistic Support Artifact to Boost Network Confidence
Visual AI systems are vulnerable to natural and synthetic physical corru...
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03/10/2023
Do we need entire training data for adversarial training?
Deep Neural Networks (DNNs) are being used to solve a wide range of prob...
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06/16/2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Adversarial attacks in deep learning models, especially for safety-criti...
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06/04/2022
Soft Adversarial Training Can Retain Natural Accuracy
Adversarial training for neural networks has been in the limelight in re...
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05/14/2022
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Spiking Neural Networks (SNNs) are an emerging domain of biologically in...
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02/12/2022
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study
Despite the successful implementations of physics-informed neural networ...
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04/10/2019
