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Found 4 papers, 1 papers with code
Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment
Despite the general capabilities of Large Language Models (LLMs) like GPT-4 and Llama-2, these models still request fine-tuning or adaptation with customized data when it comes to meeting the specific business demands and intricacies of tailored use cases.
Defending against Insertion-based Textual Backdoor Attacks via Attribution
Textual backdoor attack, as a novel attack model, has been shown to be effective in adding a backdoor to the model during training.
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger
Textual backdoor attacks pose a practical threat to existing systems, as they can compromise the model by inserting imperceptible triggers into inputs and manipulating labels in the training dataset.
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions
We propose a novel machine translation-based approach, PharmMT, to automatically and reliably simplify prescription directions into patient-friendly language, thereby significantly reducing pharmacist workload.
