A new library called resk-logits offers a method to protect patient booking chatbots, such as those used by Doctolib, from prompt injection attacks. The library utilizes a GPU-accelerated Aho-Corasick algorithm to penalize logits associated with dangerous tokens in real-time, effectively preventing them from being sampled by the language model. This approach provides a more robust security measure than traditional post-generation filters, which can be too slow to prevent sensitive information from being revealed. AI
IMPACT Enhances security for LLM applications by preventing prompt injection attacks in real-time.
RANK_REASON The item describes a new library for enhancing the security of LLM-based applications, specifically focusing on prompt injection vulnerabilities.
- Aho–Corasick algorithm
- AutoModelForCausalLM
- AutoTokenizer
- Doctolib
- GPT2
- graphics processing unit
- prompt injection
- resk-logits
- ShadowBanProcessor
- transformers
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