Data Poisoning Courses and Certifications

Generative AI - Risk and Cyber Security Masterclass 2024

3327 ratings at Udemy

Learn the cyber security risks around Generative AI and how to mitigate them

• Udemy
• 2 hours 39 minutes
• On-Demand
• Paid Course

Ethical Hacking against and with AI/LLM/ML (Lite Version!)

76 ratings at Udemy

Become professional in AI and LLM Penetration Testing and Vulnerability Discovery (Lite Version!)

• Udemy
• 3 hours 24 minutes
• On-Demand
• Paid Course

Mastering the OWASP Top 10 for LLM Applications

23 ratings at Udemy

Navigate LLM Vulnerabilities: From Prompt Injection to Model Theft

• Udemy
• 1 hour 41 minutes
• On-Demand
• Paid Course

Securing the Use of Generative AI in Your Organization

194 ratings at LinkedIn Learning

Learn about securing generative AI to unleash its potential while fortifying your organization against emerging cybersecurity threats.

• LinkedIn Learning
• 1 hour 16 minutes
• On-Demand
• Free Trial Available

Google Cloud Professional Machine Learning Engineer Cert Prep: 1 Framing ML Problems

75 ratings at LinkedIn Learning

Learn about the Google Professional Machine Learning Engineer certification exam, and topics relating to the first part of the exam, framing ML problems.

• LinkedIn Learning
• 1 hour 7 minutes
• On-Demand
• Free Trial Available

Google Cloud Professional Cloud Architect Cert Prep: 3 Designing for Security and Compliance

11 ratings at LinkedIn Learning

Prepare for the Google Professional Cloud Architect certification exam topics focused on designing for security and compliance.

• LinkedIn Learning
• 33 minutes
• On-Demand
• Free Trial Available

RSA Conference

AI Security Engineering - Modeling - Detecting - Mitigating New Vulnerabilities

Explore AI security threats, including adversarial attacks and data poisoning. Learn detection, protection, and mitigation strategies for AI/ML systems from Microsoft experts.

• YouTube
• 54 minutes
• On-Demand
• Conference Talk

USENIX Enigma Conference

Trustworthy Machine Learning: Challenges and Frameworks

Exploring the security challenges in machine learning, this talk discusses strategies for building trustworthy AI systems by analyzing data influence, addressing vulnerabilities, and enhancing interpretability.

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

Breaking NBAD and UEBA Detection

Explore techniques to bypass Network Behavior Anomaly Detection and User Entity Behavioral Analysis, including data poisoning, behavioral spoofing, and network manipulation strategies.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

Breaking NBAD & UEBA Detection

Explore techniques to bypass Network Behavior Anomaly Detection (NBAD) and User Entity Behavior Analytics (UEBA), covering data poisoning, exfiltration, and various attack methods with live demonstrations.

• YouTube
• 34 minutes
• On-Demand
• Conference Talk

Simons Institute

Learning Under Data Poisoning

Explore data poisoning's impact on machine learning, its detection methods, and strategies for building robust models against adversarial attacks in this informative talk.

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

Black Hat

Smashing the ML Stack for Fun and Lawsuits

Explore legal risks and ethical considerations of testing commercial ML systems' security, with insights on potential lawsuits and regulatory implications for researchers.

• YouTube
• 32 minutes
• On-Demand
• Conference Talk

Devoxx

Understanding Security Threats Against Machine - Deep Learning Applications

Explore security threats against machine learning applications, including trojaning, adversarial examples, data poisoning, and model extraction. Learn neural network basics and hacking methods for all developer levels.

• YouTube
• 2 hours 13 minutes
• On-Demand
• Conference Talk

Black Hat

Poisoning Web-Scale Training Datasets is Practical

Explore strategies for creating large datasets and two attacks exploiting these mechanics, revealing vulnerabilities in deep learning models trained on internet-sourced data.

• YouTube
• 33 minutes
• On-Demand
• Conference Talk

The Dark Side of AI: Hidden Supply Chain Risks in Open-Source AI Models

Explore security vulnerabilities in open-source AI models, including live demonstrations of exploits and techniques for embedding malicious code and data poisoning.

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