Adversarial Attacks Courses and Certifications

Alexander Amini;  MIT

Deep Learning Limitations and New Frontiers

Explore deep learning limitations, new frontiers, and advancements in AI, including uncertainty estimation, adversarial attacks, and meta-learning, with insights on future developments and applications.

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

Alexander Amini;  MIT

Deep Learning New Frontiers

Explore deep learning limitations and new frontiers, including expressivity, generalization, failure modes, uncertainty, adversarial attacks, and emerging areas like graph learning and AutoML.

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

Alexander Amini;  MIT

Deep Learning New Frontiers

Explore deep learning limitations and new frontiers, including expressivity, generalization, adversarial attacks, uncertainty, and AutoML. Gain insights into cutting-edge developments in neural networks.

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

Alexander Amini;  MIT

MIT 6.S191 - Deep Learning Limitations and New Frontiers

Explore deep learning limitations, adversarial attacks, uncertainty quantification, and AutoML in this lecture. Gain insights into neural network challenges and emerging frontiers in AI research.

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

Launchpad

Towards Deep Learning Models Resistant to Adversarial Attacks

Explore deep learning model vulnerabilities and defense strategies against adversarial attacks, examining research findings and experimental results.

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

Graham Neubig

Neural Nets for NLP 2021 - Adversarial Methods

Explore generative adversarial networks, adversarial feature learning, and adversarial attacks in NLP. Learn cutting-edge techniques for robust and domain-invariant neural network models in natural language processing.

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

USENIX

On Adaptive Attacks to Adversarial Example Defenses

Explore adaptive attacks on adversarial example defenses, examining challenges, whitebox attacks, and key observations to understand vulnerabilities in machine learning security.

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

OWASP Foundation

MLSec Going Deeper

Explore advanced machine learning security concepts, including adversarial samples, attack strategies, and defensive techniques for various ML models.

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

The Answer to Life the Universe and Everything Offensive Security

Explore offensive security through machine learning, sandbox detection, and attack graph theory. Learn about simulation, Q-learning, and adversarial attacks in this comprehensive overview.

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

Black Hat

The Devil is in the GAN - Defending Deep Generative Models Against Adversarial Attacks

Exploring vulnerabilities in Deep Generative Models, this talk introduces a threat model for training-time attacks and demonstrates backdooring techniques, while proposing effective detection methods through static and dynamic inspections.

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

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

RSA Conference

Malicious Documents Emerging Trends - A Gmail Perspective

Comprehensive analysis of malicious document trends targeting Gmail users, exploring attacker tactics and Google's defensive strategies using AI detection and traditional antivirus methods.

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

Association for Computing Machinery (ACM)

Accessorize to a Crime - Real and Stealthy Attacks on State-Of-The-Art Face Recognition

Explores stealthy attacks on face recognition systems using adversarial machine learning techniques, demonstrating vulnerabilities in state-of-the-art facial recognition technology through impersonation experiments.

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

Yannic Kilcher

Manifold Mixup: Better Representations by Interpolating Hidden States

Explore Manifold Mixup, a regularization technique that improves neural network performance by interpolating hidden representations, leading to smoother decision boundaries and more robust predictions.

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

USENIX Enigma Conference

Building Realistic Machine Learning Systems for Security

Explore building robust machine learning systems for malware detection, addressing challenges like low false positive rates, polluted data, and realistic adversarial attacks in security applications.

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