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Changsha University of Science and Technology
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GhostPrompt achieves over 30% higher attack success rates while slashing computation time by nearly 70%, transforming how adversarial prompts can be utilized across diverse images.
Achieving a 2.93x improvement in training efficiency for trillion-parameter models could redefine the scalability of large-scale AI systems.
LLMs can inherently recognize policy violations, and PVDetector exploits this to achieve unprecedented detection accuracy against prompt injection attacks.
