Comments (1)
Hey Manish
Many thanks for reaching out and I appreciate the suggestion.
Whilst I understand with your hypothesis, I do not feel this is significant enough risk to explicitly call out as a vulnerability against Training Data Poisoning. As LLM application developers, we do care about safety and harms-related risk such as bias, judgement etc. Ultimately, we should be catering for this in other avenue's such as sources & supply chain of the foundation training data, fine-tuning and benchmarking. In terms of these risks, the current LLM03: Training Data Poisoning
entry lists ways to mitigate against high risk data sources already:
I will close this one out in ~ a week if I don't get a response on this.
from www-project-top-10-for-large-language-model-applications.
Related Issues (20)
- [suggestion enhancement] references of prompt injection -> jailbreaking, call out Many-Shot Jailbreaking explicitly
- Merge german translation HOT 4
- Extend LLM-04: RAG poisoning with glitch tokens causes DoS HOT 6
- setup automation for triage of issues against the project board HOT 1
- LLM-01 - Add canary tokens to Prevention and Mitigation Strategies HOT 1
- Include Feedback guidelines within the document HOT 2
- The GitHub Issue flow appears to be designed for software bugs, not documentation enhancements HOT 1
- Drive standard spelling from Terminology glossary HOT 3
- ads test from https://github.com/OWASP/www-project-top-10-for-large-language-model-applications/pull/292 HOT 12
- test
- test new issue HOT 1
- Discussion Board Not Found HOT 3
- llmtop10.com has several HTML errors HOT 4
- Translation Effort - Language-specific links to other OWASP resources HOT 4
- genai.owasp.org/resources -- text label and download issues HOT 2
- Add LLM IT Translations onto Website https://genai.owasp.org/ HOT 2
- Add German Translations of LLM Top 10 to Website https://genai.owasp.org/ HOT 7
- Incorrect link in text on page with German translation of the LLM Top 10 V1.1. HOT 4
- cannot access editable source of v2 diagram - www-project-top-10-for-large-language-model-applications/2_0_vulns/artifacts /v2.0 - OWASP Top 10 for LLM Applications and Generative AI - LLM Application HLD - Presentation DLD.jpeg HOT 10
- Incorrect placement of Prevention & Mitigation step for LLM #10 HOT 5
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from www-project-top-10-for-large-language-model-applications.