HiddenLayer: Chris Sestito on ML/AI Security Incidents and Defense Capabilities
Secure Ventures with Kyle McNulty
Exploring Tools and Threats in ML/AI Security
This chapter analyzes the prevalence of tools on GitHub used for attacking ML/AI systems, featuring well-known ones like counterfeit and adversarial robustness toolbox. It discusses the ease of access for malicious actors and the importance for organizations to proactively defend against such threats. The conversation also highlights the market elements, motivations, and evolving landscape of security incidents, emphasizing the need for robust defense capabilities.
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