Method DriftRetrieval-augmented generation

Superseded baseline#122 of 1,179 most-superseded

Context-Agnostic Attack

Retrieval-augmented generation

superseded — cited as a baseline and beaten by newer methods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 Context-Agnostic Attack as a baseline.

  • a fundamental limitation shared by these existing approaches is their reliance on the assumption that an adversary can directly manipulate a user's input query. This premise is often impractical in real-world scenarios, as it confines the attack's impact to the specific, manipulated query initiated by the attacker.
    Inference Cost Attacks for Retrieval-Augmented Large Language Models

Newer alternatives

Recent methods in the same sub-problem, not yet superseded in the knowledge base.