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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Nirmal Joseph

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#explainable ai Oct 2026

Securing Medical AI: Adversarial Attack Detection and Mitigation in CAD Systems

Frequency-constrained adversarial attacks introduce imperceptible, high-frequency distortions that undermine the reliability and safety of AI-assisted medical diagnostics, posing a serious challenge to trust and resilience in socially-interactive, human-AI healthcare systems. To address this, we introduce Sentinel, a p...

Nirmal Joseph, Sudhish N. George, A. M et al. · 0 citations
Sep 2026

Seeing Through Threats: Adversarial Detection Through Explainability (ADEx)

Deep Neural Networks (DNNs) remain vulnerable to adversarial perturbations, raising significant concerns in image processing applications, particularly in high-stakes domains such as medical imaging and security-critical systems. Most existing defense strategies are limited by domain specificity, architectural dependen...

Syamantak Sarkar, Nirmal Joseph, Sudhish N. George et al. · 0 citations

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