research
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09/27/2022
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise
Although numerous methods to reduce the overfitting of convolutional neu...
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09/27/2022
Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection
Adversarial patch-based attacks aim to fool a neural network with an int...
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07/15/2022
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection
Standard approaches for adversarial patch generation lead to noisy consp...
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04/22/2022
Balancing Expert Utilization in Mixture-of-Experts Layers Embedded in CNNs
This work addresses the problem of unbalanced expert utilization in spar...
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04/21/2022
