Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks | ScienceToStartup | ScienceToStartup

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References (32)

[1]

BrainDil: Enhanced and Efficient Brain Tumor Classification in MRI Images Using Dilated Convolution

2025Ryan Deem, Md Abdullah Al Hafiz Khan et al.

[2]

Brain Tumor Classification using Deep Learning: Robustness Against Adversarial Attacks and Defense Strategies

2025Hafsa Khalid, Cem Direkoglu

[3]

A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing

Founder's Pitch

"Develop robust classifiers for brain tumor detection that withstand adversarial attacks, improving clinical safety of MRI analysis."

Medical AI•Score: 5•View PDF ↗

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Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks

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"Develop robust classifiers for brain tumor detection that withstand adversarial attacks, improving clinical safety of MRI analysis."

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Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks

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References (32)

Founder's Pitch

"Develop robust classifiers for brain tumor detection that withstand adversarial attacks, improving clinical safety of MRI analysis."

Commercial Viability Breakdown

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