Machine Learning Security Courses and Certifications

Flawed ML Security: Mitigating Security Vulnerabilities in Data and Machine Learning Infrastructure with MLSecOps

Explore security vulnerabilities in machine learning infrastructure and learn practical strategies for mitigating risks using MLSecOps. Gain insights on RBAC, encryption, and best practices for robust ML systems.

• YouTube
• 28 minutes
• On-Demand
• Free Video

OWASP Foundation

Security of Machine Learning Systems

Explore security challenges in AI and ML systems, including adversarial attacks and MLOps. Learn to apply pen testing skills to ML, with demonstrations on manipulating image recognition and NLP models.

• YouTube
• 53 minutes
• On-Demand
• Free Video

DevSecCon

OWASP Top 10 for Machine Learning Security - A Comprehensive Walkthrough

Explore OWASP's top 10 ML security vulnerabilities, gain insights into real-world examples, and learn actionable strategies for securing machine learning models and systems.

• YouTube
• 57 minutes
• On-Demand
• Free Video

BSidesLV

Secure AI: 20 Years of Machine Learning Security - Keynote

Exploración histórica de la seguridad en IA, desde sus inicios hace 20 años hasta los desafíos actuales. Análisis crítico de las prácticas modernas y orientación para profesionales en el campo.

• YouTube
• 47 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

Security Audits for Machine Learning Attacks

Explore common machine learning security attacks and learn effective remediation strategies to protect your models from harmful outcomes and data exposure. Enhance your organization's security practices.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Simons Institute

Mitigating Backdoors in Machine Learning Models - Security and Defense Strategies

Explore techniques for defending against undetectable backdoors in machine learning systems through black-box mitigation strategies, focusing on binary classification and regression models.

• YouTube
• 54 minutes
• On-Demand
• Free Video

LASCON

Safeguarding Machine Learning Systems - A Comprehensive Security Plan

Discover a holistic security framework for ML systems, covering data protection, model fortification, platform security, compliance measures, and human-centric safeguards for robust AI deployment.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Coursera

Secure AI Code & Libraries with Static Analysis

Master static analysis workflows to secure AI systems using Bandit, Semgrep, and pip-audit. Identify ML-specific vulnerabilities and implement automated CI/CD security scanning.

• Coursera
• 4 hours 9 minutes
• On-Demand
• Paid Course

Edureka

Securing AI Systems

Discover how to protect machine learning applications from adversarial attacks, data poisoning, and model theft through hands-on labs and defense strategies.

• Coursera
• 9 hours 53 minutes
• On-Demand
• Paid Course

Coursera

Secure AI Systems Across Lifecycle Stages

Discover specialized skills to defend AI systems from sophisticated threats like data poisoning and adversarial attacks throughout the entire MLOps lifecycle using hands-on labs.

• Coursera
• 3 hours 19 minutes
• On-Demand
• Paid Course

Coursera

Harden AI: Secure Your ML Pipelines

Discover how to secure ML infrastructure, harden CI/CD workflows, and build resilient pipelines against cyber threats and attacks in AI-driven environments.

• Coursera
• 4 hours 30 minutes
• On-Demand
• Paid Course

Coursera

Safeguard LLM Outputs: Test and Evaluate

Master rigorous adversarial testing methodologies to build trustworthy AI systems and eliminate safety vulnerabilities in LLM applications using pytest and mutation testing frameworks.

• Coursera
• 3 hours 27 minutes
• On-Demand
• Paid Course

Analyzing and Exposing Vulnerabilities in Language Models - Session 131

Delve into advanced research on language model vulnerabilities, exploring novel adversarial attack methods and gender bias analysis while discovering practical approaches to enhance AI trustworthiness and fairness.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Krish Naik

What Is LLM Poisoning? Interesting Breakthrough

Discover how just 250 malicious documents can create backdoor vulnerabilities in large language models, regardless of their size or training data volume.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Paul G. Allen School

Provably Secure Machine Learning Algorithms - Designing Reliable AI Systems

Exploring vulnerabilities in machine learning systems and developing provably secure algorithms to defend against statistical attacks in high-dimensional settings and non-convex models.

• YouTube
• 59 minutes
• On-Demand
• Free Video