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Cross Subspace Alignment and the Asymptotic Capacity of $X$-Secure $T$-Private Information Retrieval
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abstract
$X$-secure and $T$-private information retrieval (XSTPIR) is a form of private information retrieval where data security is guaranteed against collusion among up to $X$ servers and the user's privacy is guaranteed against collusion among up to $T$ servers. The capacity of XSTPIR is characterized for arbitrary number of servers $N$, and arbitrary security and privacy thresholds $X$ and $T$, in the limit as the number of messages $K\rightarrow\infty$. Capacity is also characterized for any number of messages if either $N=3, X=T=1$ or if $N\leq X+T$. Insights are drawn from these results, about aligning versus decoding noise, dependence of PIR rate on field size, and robustness to symmetric security constraints. In particular, the idea of cross subspace alignment, i.e., introducing a subspace dependence between Reed-Solomon code parameters, emerges as the optimal way to align undesired terms while keeping desired terms resolvable.
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Cited by 1 Pith paper
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Improved Storage for Efficient Private Information Retrieval
A hybrid of MDS coding and uncoded partial replication achieves the known PIR storage-download curve at more points, but the general claim is only demonstrated by a single example.
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