Making AI Tricks Work Better: A New Way to Fool Machines
AI systems are often tricked by sneaky inputs called adversarial examples. These inputs are tweaked just enough to confuse AI models, but not enough for humans to notice. The tricky part is making these examples work well on different AI systems without being too obvious. A new method called Diff-A