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AI Innovator Series Speaker - Advances in ML for Cyber-Safety

PNNL Community
1.74K subscribers
9 views 3 years ago
The safety, integrity, and well-being of users, communities, and platforms on web and social media is a critical, yet challenging task. In this talk, I will describe the cybersafety-focused machine learning methods, leveraging behavior modeling, graph analytics, and deep learning, that my group has developed to efficiently detect malicious users and bad content online. While developing models that are highly accurate is important, it is also crucial to ensure that the systems are trustworthy. Thus, I will describe my group's work on quantifying the reliability of cybersafety models against smart adversaries that are popularly used in practice, such as those in Facebook. Learn more about the AI Innovator Series at https://www.pnnl.gov/projects/mega-ai... ...more
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AI Innovator Series Speaker - Advances in ML for Cyber-Safety
0Likes
9Views
2022Apr 15
The safety, integrity, and well-being of users, communities, and platforms on web and social media is a critical, yet challenging task. In this talk, I will describe the cybersafety-focused machine learning methods, leveraging behavior modeling, graph analytics, and deep learning, that my group has developed to efficiently detect malicious users and bad content online. While developing models that are highly accurate is important, it is also crucial to ensure that the systems are trustworthy. Thus, I will describe my group's work on quantifying the reliability of cybersafety models against smart adversaries that are popularly used in practice, such as those in Facebook. Learn more about the AI Innovator Series at https://www.pnnl.gov/projects/mega-ai...

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PNNL Community

1.74K subscribers