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University of Glasgow
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Privacy-sensitive visual and textual information can be recovered from deep-layer LVLM hidden states, exposing significant risks in collaborative inference.
Backdoor attacks can become virtually immune to pruning and significantly more resilient to fine-tuning by carefully crafting triggers that push poisoned samples into low-density regions of the clean data distribution.
