Preface

Machine learning (ML) and artificial intelligence (AI) have continued to evolve rapidly in the past two years, with significant advancements and applications in various fields. AI and ML systems often process vast amounts of sensitive data, including personal information. Ensuring the security of this data is crucial to protect against breaches that could lead to identity theft, financial fraud, and other privacy violations. On top of this, governments and regulatory bodies are implementing stricter data protection and privacy laws. Compliance with these regulations is essential for legal and ethical operations. This is why securing those systems has become more vital than ever. As cyber threats evolve, AI and ML systems must be designed ...

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