Check out the new HLFF Blog article by Andrei Mihai where he explores adversarial attacks on image neural networks and the consequences thereof.

This week at the HLFF Blog, Andrei Mihai takes a look at deep neural networks, specifically regarding images, and their susceptibility to adversarial attacks. He examines recent developments that show how minor pixel adjustments can fool image neural networks into mistaking, for example, a cat for guacamole. Finally, Andrei unpacks the significance and extent of these vulnerabilities for many critical applications of this technology and examines how close researchers in this field are to addressing those vulnerabilities. Check out the full article on our Blog: 


Image caption: A cat or guacamole? AI cannot always tell which is which. (Image generated via DALL-E 3)