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SHARD: cell-keyed residual splitting for alignment-resistant private dense retrieval

arXiv Security Archived Jun 29, 2026 ✓ Full text saved

arXiv:2606.27976v1 Announce Type: new Abstract: Dense embeddings underpin semantic search and RAG, yet a leaked vector store hands much of the underlying text back to whoever holds it. The attacks that make this possible (few-shot alignment, zero-shot inversion, unsupervised cross-space translation) share one weakness: the protected store is a single global geometry that can be aligned to a known one. A secret global rotation, the usual lightweight defence, is no exception: orthogonal Procrustes

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    Computer Science > Cryptography and Security [Submitted on 26 Jun 2026] SHARD: cell-keyed residual splitting for alignment-resistant private dense retrieval Sergey Kurilenko Dense embeddings underpin semantic search and RAG, yet a leaked vector store hands much of the underlying text back to whoever holds it. The attacks that make this possible (few-shot alignment, zero-shot inversion, unsupervised cross-space translation) share one weakness: the protected store is a single global geometry that can be aligned to a known one. A secret global rotation, the usual lightweight defence, is no exception: orthogonal Procrustes recovers it once the attacker has about the subspace dimension in known pairs. We introduce Shard, a retrieval-preserving embedding transform that removes this weak axis. The centred embedding is split into a short public prefix (for stage-1 retrieval) and a private residual sharded into C cells under separate secret keys; the residual is reranked under CKKS, where the keys cancel and leave the inner product exact. A single parameter C runs the design from the global-linear baseline it replaces (C=1) to per-document micro-keys (C=N). Because the rerank is full-dimensional, Shard returns the raw-space nDCG@10 that half-SVD truncation gives up; and because the residual is keyed cell-locally, mapping it back to a common frame under a diffuse known-plaintext leak costs roughly C times more anchors (median 200 to 102,400 at C=256), for a few encrypted queries. The short public prefix leaks far less neighbour structure, and a micro-key limit drives the residual graph to zero with an unlinkable, renewable template. The barrier holds against learned, non-linear and unsupervised aligners, and where a matched-utility noise defence de-anonymises almost every probe, Shard de-anonymises none. We are plain about the limits: within a cell the keys cancel, a targeted attacker needs only about d_priv anchors, and an overlapping reference corpus still leaks through the prefix. Shard is an attack-aware geometric defence, not a cryptographic guarantee. Comments: arXiv admin note: text overlap with arXiv:2606.26373 Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR) Cite as: arXiv:2606.27976 [cs.CR]   (or arXiv:2606.27976v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2606.27976 Focus to learn more Submission history From: Sergey Kurilenko [view email] [v1] Fri, 26 Jun 2026 11:26:53 UTC (551 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-06 Change to browse by: cs cs.AI cs.IR References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
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    ◬ AI & Machine Learning
    Published
    Jun 29, 2026
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    Jun 29, 2026
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