AI Security
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Twitter API for Secure Data Collection in Machine Learning Workflows
While APIs serve as secure data conduits, they are not impervious to cyber threats. Vulnerabilities can range from unauthorized data…
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The Dark Art of Model Stealing: What You Need to Know
Model stealing, also known as model extraction, is the practice of reverse engineering a machine learning model owned by a…
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Risks of AI – Meeting the Ghost in the Machine
Because it demands so much manpower, cybersecurity has already benefited from AI and automation to improve threat prevention, detection and…
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Adaptive Attacks: Learning to Evade Machine Learning-Based IDS
Attackers, often employing techniques like model querying, can gather valuable information regarding the target model’s structure, parameters, and learned features,…
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