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Document reconstruction from exposed retrieval embeddings

Exposed retrieval embeddings can reveal source text. SHAQ evaluates indexing generated queries instead of direct document embeddings to reduce that leakage.

Published
Analyzed
Paper-reported evidence
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Paper-evaluated models(1)

  • QwQ 32B
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Description

Exposed retrieval embeddings can reveal source text. SHAQ evaluates indexing generated queries instead of direct document embeddings to reduce that leakage.

Examples

See the primary study (opens in a new tab).

Impact

Across ten sampled BEIR datasets, the authors report defended mean reconstruction ROUGE-1 of 0.2710 under the standard evaluation and 0.3376 under its adaptive variant. Residual overlap remains. Documents were truncated to 32 tokens; full-length reconstruction privacy and downstream question answering were not evaluated.

Affected Systems

  • The FAISS retrieval setup with GTR-T5 embeddings and T5-based vec2text evaluation; exact encoder checkpoints are unspecified. DPR appears only in a retrieval-utility ablation. QwQ-32B generates the defensive queries.

Mitigation Steps

  • Restrict and audit embedding access.
  • Measure privacy and retrieval quality together.
  • Validate full-length document privacy before deploying this defense.

Evidence

Research context and provenance

Catalog identifier
LMVD-2021f881
Internal research identifier, not an official CVE identifier.
Evidence and verification
Paper-reported; independent reproduction is not documented.
Primary source plus a dedicated evidence section.
Severity
Not rated by this catalog.
Source and publication type
arXiv · Research preprint.
Peer-review status is not provided by this source.
Author and publication status
Author metadata is not stored; see the primary paper.
Threat model and attacker access
Black-box model, service, or application access.
Related deployment categories
Retrieval-augmented generation
Taxonomy labels only; paper-specific deployment prerequisites are not inferred.
Affected systems
The FAISS retrieval setup with GTR-T5 embeddings and T5-based vec2text evaluation; exact encoder checkpoints are unspecified. DPR appears only in a retrieval-utility ablation. QwQ-32B generates the defensive queries.

Research Paper

Shadow Queries for Private Retrieval in Vector Databases

Primary source: arXiv. Findings are reported by the cited research and have not been independently verified.

View Paper