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RobustQuote: Using Reference Images for Adversarial Robustness

We propose RobustQuote, a novel defense framework designed to enhance the adversarial robustness of vision transformers. The core idea is to leverage trusted reference images drawn from a dynamically changing pool unknown to the attacker as contextual anchors to detect and correct adversarial pertur...

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Uloženo v:
Hlavní autoři: Hugo Lemarchant, Hong Liu, Yuta Nakashima
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2025-05-01
Edice:Applied Sciences
Témata:
vision transformer
adversarial attack
robustness
cross-attention
On-line přístup:https://www.mdpi.com/2076-3417/15/10/5470
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