Search Results for author:
Found 2 papers, 2 papers with code
How Robust is Google's Bard to Adversarial Image Attacks?
By attacking white-box surrogate vision encoders or MLLMs, the generated adversarial examples can mislead Bard to output wrong image descriptions with a 22% success rate based solely on the transferability.
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
Strong adversarial examples are crucial for evaluating and enhancing the robustness of deep neural networks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
