Webinars • AI and ML Systems
Pentesters Chat - Breaking into AI and Machine Learning Systems
The Sprocket testing team discusses AI and Machine Learning Systems.
On this episode of Pentesters Chat, our team explores the distinct security vulnerabilities that arise when testing AI/ML systems compared to traditional systems.
- Adversarial Attacks: Understand how adversarial inputs can manipulate machine learning models, and how pentesters can exploit this weakness.
- Model Inference: Discuss techniques for reverse-engineering AI models and extracting sensitive data, including training datasets.
- Defense Strategies: Share insights on strengthening AI/ML systems against common attack vectors and building more resilient models.
On this episode from the Sprocket Team:
Nate Fair
Senior Penetration Tester
Nate Fair has been taking the back off TV remotes, breaking things on the computer, and a curious person all his life. Now he calls that penetration testing and has been doing it for almost 10 years. He spends most of his time designing, building, and implementing solutions on improving Continuous Penetration Testing at scale.
Nate enjoys cooking, hiking, and going to concerts. You can find Nate throwing down in the kitchen, at a local brewery, BBQ joint, or in the weight room when he isn't hacking away on his computer and causing mischief. Or some combination of all of the above.