Retrieval-augmented generation
PromptGuard
Superseded baseline#153 of 1,179 most-superseded
Superseded — cited as a baseline and beaten by newer methods
1 papers critique it · 1 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites PromptGuard as a baseline.
While general prompt injection detection methods~promptguard2024,liu2025datasentinel can be applied to identify malicious documents, our experiments show that their effectiveness is limited.
Beaten on benchmarks
Head-to-head results where a newer method reports beating PromptGuard. Values are copied from the source paper's tables — verify against the cited paper.
CleanBase beats PromptGuard
1.8 vs 35.9
FPR · [NQ dataset, Naive Attack]
CleanBase: Detecting Malicious Documents in RAG Knowledge Databases
What to use instead
Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.
- May 26, 2026
- May 19, 2026
- May 1, 2026
- Beyond Factual GroundingBeyond Factual Grounding: The Case for Opinion-Aware Retrieval-Augmented GenerationApr 13, 2026
- RAGShieldRAGShield: Provenance-Verified Defense-in-Depth Against Knowledge Base Poisoning in Government Retrieval-Augmented Generation SystemsApr 1, 2026
- Mar 24, 2026
- Jan 13, 2026
- Oct 10, 2025
- RADARRADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized CollaborationSep 28, 2025
- RAGOriginWho Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented GenerationSep 17, 2025