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20192025
most citedGotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks

75 citations · 243 across the 14 of their papers we have counts for

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cs.CR2025★ 1 cited

On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling

Stanley Wu, Ronik Bhaskar, Anna Yoo Jeong Ha +3

Today's text-to-image generative models are trained on millions of images sourced from the Internet, each paired with a detailed caption produced by Vision-Language Models (VLMs).…