Garbage In, Garbage Out: How Purportedly Great Machine Learning Models can be Screwed Up by Bad Data
Security researchers examine technical aspects of Garbage In, Garbage Out: How Purportedly Great Machine Learning Models can be Screwed Up by Bad Data.
Summary
How bad data can undermine purportedly great machine learning security models.
Related talks
Black Hat·44 min
Presenters detail vulnerability discovery and exploitation in Zen and the Art of Adversarial Machine Learning.
machine-learningadversarial-machine-learningadversarial+2
Black Hat·35 min
Joshua Saxe
Security researchers examine technical aspects of How We Can Power Real Security Machine Learning Progress Through Open Algorithms and Benchmarks.
machine-learningalgorithmsmachine+1
Black Hat·11 min
Analysts investigate attack surfaces and defenses concerning How is Machine Learning and Data Science Transforming Cyber Security?.
machine-learningdata-sciencemachine+1