Adversarial Machine Learning Courses and Certifications

Simons Institute

Formal Backdoor Detection Games and Deceptive Alignment in Machine Learning

Explore the strategic interplay between attackers and defenders in machine learning backdoors, examining implications for AI alignment and deceptive behavior detection.

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

Confreaks

Will the Terminator Imprison Us, or Will Threat Actors Compromise It First? - AI Safety and Security Risk Assessment

Explore AI safety and security risks through real-world case studies and actuarial modeling techniques, examining whether AI systems pose threats or become targets themselves.

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

Cloud Security Alliance

Security and Privacy Risks in AI Systems

Explore adversarial machine learning, AI security threats, and defensive strategies for protecting AI systems against manipulation and attacks in critical applications.

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

USENIX

EmbedX - Embedding-Based Cross-Trigger Backdoor Attack Against Large Language Models

Discover EmbedX, a novel cross-trigger backdoor attack using embedding vectors to manipulate large language models while maintaining stealth and preserving utility.

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

GOTO Conferences

Hacking AI Systems - How to Trick Artificial Intelligence

Explore adversarial AI attacks and learn how to exploit and defend against vulnerabilities in modern artificial intelligence systems through practical examples.

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

DevConf

How to Attack AI Systems and How to Defend Them

Discover how attackers compromise AI systems through adversarial manipulations and learn practical defensive strategies to build trustworthy, resilient machine learning pipelines.

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

IEEE

Making and Measuring Progress in Adversarial Machine Learning

Explore adversarial machine learning progress with Nicholas Carlini, focusing on measurement techniques and recent advancements in this critical field of AI security research.

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

Black Hat

Zen and the Art of Adversarial Machine Learning

Explore security concerns in machine learning integration, including data extraction, model evasion, and biased outcomes. Learn operational guidance and tools for addressing these challenges.

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

Black Hat

Practical Defenses Against Adversarial Machine Learning

Explore real-world attacks on ML systems, from recommendation engines to email filters, and learn practical defense strategies against adversarial machine learning threats.

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

BSidesLV

The Current State of Adversarial Machine Learning

Explore adversarial machine learning's current landscape, including attack types, vulnerabilities, and defense strategies. Gain insights into visual understanding and notable research in this critical field.

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

USENIX

Squint Hard Enough - Attacking Perceptual Hashing with Adversarial Machine Learning

Explores vulnerabilities in perceptual hash matching systems used for detecting illicit content, demonstrating potential for targeted attacks and detection avoidance in online communications.

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

Security & Ethical Hacking: Attacking Web and AI Systems

Discover how to exploit vulnerabilities in web applications and AI systems through hands-on security testing and adversarial machine learning techniques.

• Coursera
• 23 hours 57 minutes
• On-Demand
• Paid Course

Cyber Security: Security of AI

17 ratings at Coursera

Explore AI security risks, defenses, and governance to protect intelligent systems from adversarial attacks, model poisoning, and emerging threats in critical infrastructure.

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

AI for Cyber Security

Discover how AI and ML revolutionize cyber defense through hands-on threat detection, network analysis, malware identification, and adversarial attack mitigation techniques.

• Coursera
• 14 hours 51 minutes
• On-Demand
• Paid Course

AI Security: Risks, Defences and Safety

Explore AI security fundamentals, defend against adversarial attacks, secure industrial systems, and implement responsible AI governance for emerging threats.

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