Adversarial Attacks Courses and Certifications

Trust Region Based Adversarial Attack on Neural Networks

Explore trust region optimization for adversarial attacks on neural networks, covering various attack methods and their applications in computer vision and object detection.

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

Introduction to Adversarial Attacks in Machine Learning - Lecture 1

Introduction to adversarial attacks on AI systems, covering real-world examples, attack methods, and defense strategies for various applications like face recognition and object detection.

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

Andreas Geiger

Attacking Optical Flow

Explores adversarial patch attacks on optical flow networks, revealing vulnerabilities in deep learning-based motion estimation crucial for autonomous driving safety.

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

Simons Institute

Lessons Learned from Evaluating the Robustness of Defenses to Adversarial Examples

Explore robustness of AI defenses against adversarial examples, evaluating threat models and defense strategies to improve security in deep learning systems.

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

Simons Institute

Provable Robustness Beyond Bound Propagation

Explore adversarial robustness in deep learning, focusing on randomized smoothing as a defense strategy and its theoretical guarantees for certified robustness.

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

CAE in Cybersecurity Community

Practical Adversarial Attack Against Speech Recognition Platforms

Explore techniques for adversarial attacks on speech recognition systems, focusing on Amazon Echo and Kodi. Learn about blackbox approaches and philosophical implications.

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

OWASP Foundation

Security Vulnerabilities in AI Assistant Based Applications

Explores security vulnerabilities in AI assistants, covering physical attacks, adversarial techniques, and defense strategies. Provides insights for developers and security professionals.

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

IEEE

HopSkipJumpAttack - A Query-Efficient Decision-Based Attack

Explore a query-efficient decision-based adversarial attack algorithm for generating adversarial examples, analyzing its theoretical foundations and performance against defense mechanisms.

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

IEEE

Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems

Explore innovative techniques for creating universal 3D perturbations to challenge and test the robustness of video recognition systems in black-box attack scenarios.

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

CAE in Cybersecurity Community

Vulnerability of Machine Learning Algorithms to Adversarial Attacks for Cyber-Physical Power Systems

Explore vulnerabilities in machine learning algorithms for cyber-physical power systems and learn about potential adversarial attacks and their implications.

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

Center for Language & Speech Processing(CLSP), JHU

Adversarial and Poisoning Attacks Against Speech Systems - Where to Find Them

Explore vulnerabilities in machine learning systems, focusing on poisoning and adversarial attacks. Learn strategies, defense mechanisms, and implications for AI security.

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

Center for Language & Speech Processing(CLSP), JHU

Clean Label Poisoning Attacks: From Classification to Speech Recognition

Explore poisoning attacks in speech recognition, from adversarial manipulations to innovative defenses. Uncover strategies, mechanisms, and future research in AI security.

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

Data Science Conference

Adversarial Attacks in Deep Neural Networks - Understanding Vulnerabilities and Countermeasures

Explore the world of adversarial attacks in Machine Learning, understanding how malicious inputs can deceive Deep Neural Networks and the ongoing challenges in developing effective defenses.

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

Rob Mulla

AI CTF Solutions - DEFCon31 Hackathon and Kaggle Competition

Comprehensive walkthrough of AI hacking techniques used in DEFCon31 CTF competition, covering various attacks on machine learning models, including adversarial examples, prompt injection, and model inversion.

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

ACM SIGPLAN

One Pixel Adversarial Attacks via Sketched Programs

Explore a novel approach for one-pixel adversarial attacks using program synthesis, achieving state-of-the-art success rates with fewer queries and transferable programs for neural network classifiers.

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