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Adversarial Machine Learning

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Papers tagged with "Adversarial Machine Learning"

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Vol 11, Issue 10 (October 2025) SMS Spam Filtering Under Adversarial Conditions Using Random Forests

Intelligent SMS Spam Filtering Under Adversarial Conditions Using Random Forests

The Growing Volume Of Unsolicited And Deceptive SMS Messages Poses A Critical Threat To Mobile Users, Necessitating The Development Of Accurate And Resilient Spam Detection Systems. While Machine Learning (ML)-based Models Have Been Widely...

SMS Spam Detection Adversarial Machine Learning Random Forest TF-IDF Text Classification

Neha Khare, Prof. Arpana Jaiswal

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Vol 11, Issue 6 (June 2025) AI And Data Science

A Review On Machine Learning Based Models For Identifying Potential Adversarial And Poisoning Attacks

Machine Learning (ML) Has Revolutionized Data-driven Decision-making Across Sectors Such As Healthcare, Finance, Defense, And Cybersecurity. However, As Its Influence Grows, So Does Its Vulnerability To Adversarial And Poisoning Attacks. Ad...

Adversarial Machine Learning Poisoning Attacks Neural Networks Adversarial Training Accuracy Of Classification

Viketan Verma, Dr. Sanmati Jain

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Adversarial Machine Learning

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Adversarial Machine Learning

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Intelligent SMS Spam Filtering Under Adversarial Conditions Using Random Forests

A Review On Machine Learning Based Models For Identifying Potential Adversarial And Poisoning Attacks

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