Adversarial Machine Learning Courses and Certifications

Inside Livermore Lab

Adversarial Machine Learning: Categories, Concepts, and Current Landscape

Explore adversarial machine learning vulnerabilities, including data subversion, evasion, and model revelation. Learn to identify potential threats and build robust defense strategies.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Conf42

A Beginner's Guide to Adversarial Machine Learning

Explore adversarial machine learning attacks, their impact on AI systems, and effective mitigation strategies. Gain insights into poisoning, inference, extraction, and evasion attacks with real-world examples.

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

BSidesLV

Tactics and Impacts of Adversarial Machine Learning

Explore adversarial attacks on ML systems, AI jailbreaks, and their impact on popular AI models. Gain insights into cybersecurity risks and preparedness strategies in the rapidly evolving AI landscape.

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

Center for Language & Speech Processing(CLSP), JHU

Adversarial Machine Learning: Beyond Manipulating Pixels and Words

Explore vulnerabilities in sequential machine learning and challenge assumptions about imperceptible attacks on image classification through human behavioral studies.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

AI Engineer

Building Security Around ML - Adversarial Machine Learning Defense Strategies

Discover why adversarial ML attacks still outpace defenses after a decade and learn practical strategies to protect neural networks and multimodal LLMs from imperceptible input manipulations.

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

Hacking AI - Security & Privacy of Machine Learning Models

Explore adversarial machine learning with Prof. Dan Boneh, examining security challenges in AI models, defenses against attacks, and the balance between accuracy and privacy in ML systems.

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

IEEE

Membership Inference Attacks against Machine Learning Models

Explore membership inference attacks on machine learning models, focusing on techniques to determine if specific data was used in training, with implications for privacy and security in ML applications.

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

IEEE

Defense Against the Dark Arts

Overview of adversarial example research in machine learning, exploring attacks, defenses, and future directions for enhancing AI security and robustness against malicious inputs.

• YouTube
• 57 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

Cross-Domain Transferability of Adversarial Perturbations - CAP6412 Spring 2021

Explore cross-domain transferability of adversarial perturbations, focusing on generative models, discriminator loss, and experimental results in this advanced computer vision lecture.

• YouTube
• 42 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

Toronto Machine Learning Series (TMLS)

Analyzing the Security of Machine Learning for Algorithmic Trading

Explore adversarial attacks on ML-based algorithmic trading systems, evaluating robustness and discussing realistic attack scenarios in financial markets.

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

IEEE

Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection

Explore multi-instance adversarial attacks on Graph Neural Networks for detecting malicious domains, enhancing cybersecurity defenses against sophisticated threats.

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

IEEE

Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection

Explore multi-instance adversarial attacks on Graph Neural Networks for detecting malicious domains, enhancing cybersecurity defenses against sophisticated threats.

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

AI Institute at UofSC - #AIISC

Adversarial AI/ML Issues and Defense Strategies

Explore adversarial AI/ML challenges and defense mechanisms with Dr. Dipankar Dasgupta, gaining insights into critical cybersecurity strategies for machine learning systems.

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