Randomized Encodings
Replacing a function by a simpler randomized function that reveals its output and nothing more, and the degree or locality that simpler function can have.
| Status | Statement | Tags |
|---|---|---|
|
AVPs Are Lengthy Posed as Hypothesis 1.2 and offered both as a working hypothesis and as an ambitious target. Theorem 1.3 proves it implies super-polynomial lower bounds on sd-PIR, general secret sharing and fully-decomposable randomized encodings – for none of which a super-linear lower bound is currently known. The source adapts counting-based arguments to the model but does not reach the best-known bound for any primitive. 4 open |
Garbled CircuitsPrivate Information RetrievalProof Size Lower BoundsRandomized Encodingslower-boundbarrier (ai) | |
|
Degree-2 Statistical RE Question 1.6 of the harvested paper, attributed there to Ishai-Kushilevitz and Applebaum-Ishai-Kushilevitz and described as open for almost 20 years. Degree-3 statistical encodings exist for every finite function; negative results are known for perfectly private degree 2. The harvested paper adds a new consequence, its Proposition 1.7. 4 open |
Arithmetic CryptographyNon Interactive Secure ComputationRandomized Encodingscharacterizationbarrier (ai) | |
|
Statistical Robust ARE The source asks whether all functions admit a statistically secure ARE, robust or non-robust, and strongly conjectures the answer is negative. The non-robust half was refuted: Bitansky, Erabelli, Garg and Ishai construct statistical AREs for all finite functions. The robust half is open, and is re-posed by that later work. 4 open |
Additive Randomized EncodingsRandomized Encodingscharacterization |
No matching items