Segment Shards: Cross-Prompt Adversarial Attacks against the Segment Anything Model
Shize Huang,
Qianhui Fan,
Zhaoxin Zhang
et al.
Abstract:Foundation models play an increasingly pivotal role in the field of deep neural networks. Given that deep neural networks are widely used in real-world systems and are generally susceptible to adversarial attacks, securing foundation models becomes a key research issue. However, research on adversarial attacks against the Segment Anything Model (SAM), a visual foundation model, is still in its infancy. In this paper, we propose the prompt batch attack (PBA), which can effectively attack SAM, making it unable t… Show more
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