machine learning vulnerabilities Archives

Reconnaissance: Mapping AI Targets | Techniques and Defenses in Adversarial ML

Understanding how adversaries map AI targets is crucial for building secure machine learning systems. Reconnaissance, the initial phase in most adversarial strategies, involves gathering information to identify vulnerabilities in AI/ML…

MITRE ATLAS

AI Hacking, Adversarial ML and MITRE ATLAS Framework Introduction

Artificial intelligence (AI) systems are transforming industries, driving innovation, and redefining how we interact with technology. Yet, with these advancements come significant risks—many of which target the very machine learning…

Tag: machine learning vulnerabilities

Reconnaissance: Mapping AI Targets | Techniques and Defenses in Adversarial ML

AI Hacking, Adversarial ML and MITRE ATLAS Framework Introduction

AI Security

Scikit-learn: The Unsung Hero of Machine Learning

Keras: The Elegant Powerhouse Behind Deep Learning’s Rise

PyTorch: The Machine Learning Maestro Transforming AI’s Future

Inference Computation in AI: Techniques, Challenges, and Innovations