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Small but good: we only dug up one paper this week but it comes with very interesting claims.

Papers

  • SecureNN: Efficient and Private Neural Network Training
    Following recent approaches but reporting significant performance improvements via specialized protocols for the 3 and 4-server setting: the claimed cost of encrypted training is in some cases only 13-33 times that of training on cleartext data. Big factor in this is the avoidance of bit-decomposition and garbled circuits when computing comparisons and ReLUs.
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Weekly Digs #9