PPP-Completeness with Connections to Cryptography

Polynomial Pigeonhole Principle (PPP) is an important subclass of TFNP with profound connections to the complexity of the fundamental cryptographic primitives: collision-resistant hash functions and one-way permutations. In contrast to most of the other subclasses of TFNP, no complete problem is known for PPP. Our work identifies the first PPP-complete problem without any circuit or Turing Machine given explicitly in the input, and thus we answer a longstanding open question from [Papadimitriou1994]. Specifically, we show that constrained-SIS (cSIS), a generalized version of the well-known Short Integer Solution problem (SIS) from lattice-based cryptography, is PPP-complete. In order to give intuition behind our reduction for constrained-SIS, we identify another PPP-complete problem with a circuit in the input but closely related to lattice problems. We call this problem BLICHFELDT and it is the computational problem associated with Blichfeldt's fundamental theorem in the theory of lattices. Building on the inherent connection of PPP with collision-resistant hash functions, we use our completeness result to construct the first natural hash function family that captures the hardness of all collision-resistant hash functions in a worst-case sense, i.e. it is natural and universal in the worst-case. The close resemblance of our hash function family with SIS, leads us to the first candidate collision-resistant hash function that is both natural and universal in an average-case sense. Finally, our results enrich our understanding of the connections between PPP, lattice problems and other concrete cryptographic assumptions, such as the discrete logarithm problem over general groups

Can PPAD hardness be based on standard cryptographic assumptions?

We consider the question of whether PPAD hardness can be based on standard cryptographic assumptions, such as the existence of one-way functions or public-key encryption. This question is particularly well-motivated in light of new devastating attacks on obfuscation candidates and their underlying building blocks, which are currently the only known source for PPAD hardness. Central in the study of obfuscation-based PPAD hardness is the sink-of-verifiable-line (SVL) problem, an intermediate step in constructing instances of the PPAD-complete problem source-or-sink. Within the framework of black-box reductions, we prove the following results: (i) average-case PPAD hardness (and even SVL hardness) does not imply any form of cryptographic hardness (not even one-way functions). Moreover, even when assuming the existence of one-way functions, average-case PPAD hardness (and, again, even SVL hardness) does not imply any public-key primitive. Thus, strong cryptographic assumptions (such as obfuscation-related ones) are not essential for average-case PPAD hardness. (ii) Average-case SVL hardness cannot be based either on standard cryptographic assumptions or on average-case PPAD hardness. In particular, average-case SVL hardness is not essential for average-case PPAD hardness. (iii) Any attempt for basing the average-case hardness of the PPAD-complete problem source-or-sink on standard cryptographic assumptions must result in instances with a nearly exponential number of solutions. This stands in striking contrast to the obfuscation-based approach, which results in instances having a unique solution. Taken together, our results imply that it may still be possible to base PPAD hardness on standard cryptographic assumptions, but any such black-box attempt must significantly deviate from the obfuscation-based approach: It cannot go through the SVL problem, and it must result in source-or-sink instances with a nearly exponential number of solutions

IST Austria Thesis

A search problem lies in the complexity class FNP if a solution to the given instance of the problem can be verified efficiently. The complexity class TFNP consists of all search problems in FNP that are total in the sense that a solution is guaranteed to exist. TFNP contains a host of interesting problems from fields such as algorithmic game theory, computational topology, number theory and combinatorics. Since TFNP is a semantic class, it is unlikely to have a complete problem. Instead, one studies its syntactic subclasses which are defined based on the combinatorial principle used to argue totality. Of particular interest is the subclass PPAD, which contains important problems like computing Nash equilibrium for bimatrix games and computational counterparts of several fixed-point theorems as complete. In the thesis, we undertake the study of averagecase hardness of TFNP, and in particular its subclass PPAD. Almost nothing was known about average-case hardness of PPAD before a series of recent results showed how to achieve it using a cryptographic primitive called program obfuscation. However, it is currently not known how to construct program obfuscation from standard cryptographic assumptions. Therefore, it is desirable to relax the assumption under which average-case hardness of PPAD can be shown. In the thesis we take a step in this direction. First, we show that assuming the (average-case) hardness of a numbertheoretic problem related to factoring of integers, which we call Iterated-Squaring, PPAD is hard-on-average in the random-oracle model. Then we strengthen this result to show that the average-case hardness of PPAD reduces to the (adaptive) soundness of the Fiat-Shamir Transform, a well-known technique used to compile a public-coin interactive protocol into a non-interactive one. As a corollary, we obtain average-case hardness for PPAD in the random-oracle model assuming the worst-case hardness of #SAT. Moreover, the above results can all be strengthened to obtain average-case hardness for the class CLS ⊆ PPAD. Our main technical contribution is constructing incrementally-verifiable procedures for computing Iterated-Squaring and #SAT. By incrementally-verifiable, we mean that every intermediate state of the computation includes a proof of its correctness, and the proof can be updated and verified in polynomial time. Previous constructions of such procedures relied on strong, non-standard assumptions. Instead, we introduce a technique called recursive proof-merging to obtain the same from weaker assumptions

Foundations and applications of program obfuscation

Code is said to be obfuscated if it is intentionally difficult for humans to understand. Obfuscating a program conceals its sensitive implementation details and protects it from reverse engineering and hacking. Beyond software protection, obfuscation is also a powerful cryptographic tool, enabling a variety of advanced applications. Ideally, an obfuscated program would hide any information about the original program that cannot be obtained by simply executing it. However, Barak et al. [CRYPTO 01] proved that for some programs, such ideal obfuscation is impossible. Nevertheless, Garg et al. [FOCS 13] recently suggested a candidate general-purpose obfuscator which is conjectured to satisfy a weaker notion of security called indistinguishability obfuscation. In this thesis, we study the feasibility and applicability of secure obfuscation: - What notions of secure obfuscation are possible and under what assumptions? - How useful are weak notions like indistinguishability obfuscation? Our first result shows that the applications of indistinguishability obfuscation go well beyond cryptography. We study the tractability of computing a Nash equilibrium vii of a game { a central problem in algorithmic game theory and complexity theory. Based on indistinguishability obfuscation, we construct explicit games where a Nash equilibrium cannot be found efficiently. We also prove the following results on the feasibility of obfuscation. Our starting point is the Garg at el. obfuscator that is based on a new algebraic encoding scheme known as multilinear maps [Garg et al. EUROCRYPT 13]. 1. Building on the work of Brakerski and Rothblum [TCC 14], we provide the first rigorous security analysis for obfuscation. We give a variant of the Garg at el. obfuscator and reduce its security to that of the multilinear maps. Specifically, modeling the multilinear encodings as ideal boxes with perfect security, we prove ideal security for our obfuscator. Our reduction shows that the obfuscator resists all generic attacks that only use the encodings' permitted interface and do not exploit their algebraic representation. 2. Going beyond generic attacks, we study the notion of virtual-gray-box obfusca- tion [Bitansky et al. CRYPTO 10]. This relaxation of ideal security is stronger than indistinguishability obfuscation and has several important applications such as obfuscating password protected programs. We formulate a security requirement for multilinear maps which is sufficient, as well as necessary for virtual-gray-box obfuscation. 3. Motivated by the question of basing obfuscation on ideal objects that are simpler than multilinear maps, we give a negative result showing that ideal obfuscation is impossible, even in the random oracle model, where the obfuscator is given access to an ideal random function. This is the first negative result for obfuscation in a non-trivial idealized model