Adversarial Attacks Courses and Certifications

Coursera

Cybersecurity Strategies for AI-Driven Organizations

Master cybersecurity strategies for AI systems, tackling adversarial attacks and vulnerabilities using industry tools like MITRE ATLAS and IBM ART to build resilient AI defenses.

• Coursera
• 3 hours 33 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

Packt

Generative AI and its Impact on Cybersecurity

Explore the dual role of generative AI in cybersecurity, learning to leverage its defensive capabilities while understanding and mitigating the unique security risks it introduces.

• Coursera
• 5 hours 42 minutes
• On-Demand
• Paid Course

IEEE

Audio Adversarial Examples - Targeted Attacks on Speech-to-Text

Explore targeted audio adversarial examples on automatic speech recognition, constructing waveforms that transcribe as chosen phrases while remaining nearly identical to the original.

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

USENIX Enigma Conference

Adversarial Examples in Machine Learning - Crafting and Defending Against Attacks

Explore machine learning vulnerabilities, adversarial examples, and their impact on system security. Learn crafting techniques and defenses through practical tutorials and real-world applications.

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

IEEE

Intriguing Properties of Adversarial ML Attacks in the Problem Space

Explores novel formalization of adversarial ML evasion attacks in problem-space, focusing on real-world implications. Proposes a new attack on Android malware, demonstrating the feasibility of "adversarial-malware as a service".

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

Machine Learning and Artificial Intelligence Security Risk: Categorizing Attacks and Failure Modes

311 ratings at LinkedIn Learning

Learn how and why machine learning and artificial intelligence technology fails and understand ways to make these systems more secure and resilient.

• LinkedIn Learning
• 1 hour 12 minutes
• On-Demand
• Free Trial Available

Computer Vision - Adversarial Attacks and Deepfool Algorithm - Lecture 1

Explore DeepFool algorithm for generating adversarial examples in deep neural networks, covering linearization, multiclass classification, and experimental results.

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

Adaptive Attacks to Adversarial Example Defenses - CAP6412 Spring 2021

Explore adaptive attacks on adversarial example defenses, covering expectation over transformation, K winners take all, chaos partitioning, and local gradient estimation.

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

IEEE

Adversarial Prefetch - New Cross-Core Cache Side Channel Attacks

Explore new cross-core cache side channel attacks using adversarial prefetch techniques, uncovering potential security vulnerabilities in modern computer systems.

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

Trusted and Responsible AI - Explainability, Adversarial Attacks, Bias, and Fairness

Explore key aspects of responsible AI: explainability, adversarial challenges, bias mitigation, and fairness. Learn strategies for building trustworthy and ethical AI systems in real-world applications.

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

Defending Against Adversarial Model Attacks Using Kubeflow

Learn to protect AI models from adversarial attacks using Kubeflow. Explore threats, defenses, and practical implementations in this comprehensive presentation by IBM experts.

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

AI Product Security: Foundations and Proactive Security for AI

26 ratings at LinkedIn Learning

Gain the knowledge and strategies to secure AI products from development to deployment, addressing unique threats and implementing proactive security measures.

• LinkedIn Learning
• 1 hour 43 minutes
• On-Demand
• Free Trial Available

Intro to Testing Machine Learning Models

Explore techniques for testing ML models, including adversarial attacks, behavioral testing, and fairness considerations. Gain insights into the tester's role in ML development and production deployment.

• Test Automation University
• 1 hour 26 minutes
• On-Demand
• Free Online Course