Welcome to the resource topic for
**2017/319**

**Title:**

Embed-Augment-Recover: Function Private Predicate Encryption from Minimal Assumptions in the Public-Key Setting

**Authors:**
Sikhar Patranabis, Debdeep Mukhopadhyay

**Abstract:**

We present a new class of public-key predicate encryption schemes that are provably function private in the standard model under well-known cryptographic assumptions, and assume predicate distributions satisfying realistic min-entropy requirements. More concretely, we present public-key constructions for identity-based encryption (IBE) and inner-product encryption (IPE) that are computationally function private in the standard model under a family of weaker variants of the DLIN assumption. Existing function private constructions in the public-key setting impose highly stringent requirements on the min-entropy of predicate distributions, thereby limiting their applicability in the context of real-world predicates. For example, the statistically function private constructions of Boneh, Raghunathan and Segev (CRYPTO’13 and ASIACRYPT’13) are inherently restricted to predicate distributions with min-entropy roughly proportional to \lambda, where \lambda is the security parameter. Our constructions allow relaxing this min-entropy requirement to \omega(\log\lambda), while achieving a computational notion of function privacy against probabilistic polynomial-time adversaries, which suffices for most real-world applications. Our constructions also avoid the need for strong assumptions such as indistinguishability obfuscation.

**ePrint:**
https://eprint.iacr.org/2017/319

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