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Defending Against Indirect Prompt Injection Attacks With Spotlighting
CAMLISLarge Language Models (LLMs), while powerful, are built and trained to process a single text input. In common applications, multiple inputs can be processed by concatenating them together into a single stream of text.
Keegan Hines +5 more
semanticscholar +1 more source
Automatic and Universal Prompt Injection Attacks against Large Language Models
arXiv.orgLarge Language Models (LLMs) excel in processing and generating human language, powered by their ability to interpret and follow instructions. However, their capabilities can be exploited through prompt injection attacks.
Xiaogeng Liu +4 more
semanticscholar +1 more source
Interventional gastroenterology in oncology
Ca-A Cancer Journal for Clinicians, 2023Vaibhav Wadhwa
exaly
The story of NCN as a key species in prompt-NO formation
Progress in Energy and Combustion Science, 2021Nathalie Lamoureux +2 more
exaly
Endometriosis is a chronic systemic disease: clinical challenges and novel innovations
Lancet, The, 2021Hugh S Taylor +2 more
exaly
Knowledge graph-enhanced molecular contrastive learning with functional prompt
Nature Machine Intelligence, 2023Yin Fang, , Ningyu Zhang
exaly