Machine learning has an alarming threat: undetectable backdoors
This article is part of our coverage of the latest in AI research. If an adversary gives you a machine learning model and secretly plants a malicious backdoor in it, what are the chances that you can discover it? Very little, according to a new paper by researchers at UC Berkeley, MIT, and the Institute of Advanced Study. The security of machine learning is becoming increasingly critical as ML models find their way into a growing number of applications. The new study focuses on the security threats of delegating the training and development of machine learning models to third parties and service providers. With…
This story continues at The Next Web
from LatestTechyTalks
Comments
Post a Comment