Papers with Prompt-as-a-Service frameworks

1 papers
TrojanWave: Exploiting Prompt Learning for Stealthy Backdoor Attacks on Large Audio-Language Models (2025.emnlp-main)

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Challenge: Recent studies have shown that ALMs are vulnerable to adversarial attacks.
Approach: They propose a backdoor attack tailored to the prompt-learning setting in frozen audio-language models.
Outcome: The proposed method injects backdoors solely through learnable prompts, making it highly scalable and effective in few-shot settings.

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