International Association
for Cryptologic Research

Event date: 5 August to 9 August 2024

Event date: 22 October to 26 October 2024
Submission deadline: 5 May 2024
Notification: 12 July 2024

Event date: 20 June to 21 June 2024
Submission deadline: 1 May 2024
Notification: 17 May 2024

The Department of Electrical and Information Technology at LTH is recruiting an Assistant Professor in Computer Security.

The position is funded within the framework of a special initiative on cybersecurity from the Wallenberg AI, Autonomous Systems and Software Program. This means that, in addition to funding for the Assistant Lecturer position, full funding is provided for doctoral positions associated with the new position. The new Assistant Lecturer is expected to actively participate in the supervision of these doctoral students and, once docent competence is achieved, take on the main supervisory role. Additionally, funding is provided for two postdoctoral positions for two years each within the employment. The new Assistant Lecturer is expected to be responsible for developing profiles and recruiting for these two positions.
The subject of the position encompasses methods and principles for protecting data in safety-critical applications, as well as protection against overload attacks and the maintenance of personal privacy. There are significant challenges in researching how machine learning can be used to attack traditional computer systems, but also to create new principles for protecting systems, making them more robust, and, not least, automating security architectures and protection systems.
Work duties include:
- Research within the subject area,
- Teaching in the first, second and third cycles of studies,
- Supervision of degree projects and doctoral students,
- Actively seeking external research funding,
- Collaboration with industry and wider society.
- Recruitment of researchers and building up a research group,
- Administration related to the work duties listed above.

Closing date for applications:

Contact: Christian Gehrmann, christian.gehrmann@eit.lth.se

More information: https://lu.varbi.com/en/what:job/jobID:688687/

Quantstamp is looking for an applied cryptographer. Quantstamp often deals with a wide range of cryptographic problems, including reviewing implementations and tackling new theoretical problems using cryptography. For example, Quantstamp regularly receives requests to review code bases which either invoke or implement (custom) cryptography, as part of an audit.

Required

Mastery of at least one zk-SNARK/zk-STARK proof system, or a strong enough technical background to understand one (and this should have some direct connection to cryptography)

Ability to code and develop software. You should have experience with at least one major language, like Python, Java, or C; the exact language is not too important. You should be familiar with versioning software (specifically, GitHub), testing, and a familiarity with algorithms and data structures.

Ability to read and interpret academic papers

Ability to communicate ideas

Partial availability (2-6h) during EST work hours

Familiarity with existing ZK Rollup designs and multiple ZK proof systems

Knowledge of software development in Solidity, including testing and various development frameworks like Hardhat

Familiarity with blockchain ecosystems, particularly Ethereum

Familiarity with Circom for writing zero knowledge circuits

Closing date for applications:

Contact: candidate-upload-to-job-N7wnRj36Krf2zX@inbox.ashbyhq.com

More information: https://quantstamp.com/careers

We demonstrate that under believable cryptographic hardness assumptions, Gap versions of standard meta-complexity problems, such as the Minimum Circuit Size problem (MCSP) and the Minimum Time-Bounded Kolmogorov Complexity problem (MKTP) are not NP-complete w.r.t. Levin (i.e., witness-preserving many-to-one) reductions.

In more detail: - Assuming the existence of indistinguishability obfuscation, and subexponentially-secure one-way functions, an appropriate Gap version of MCSP is not NP-complete under randomized Levin-reductions. - Assuming the existence of subexponentially-secure indistinguishability obfuscation, subexponentially-secure one-way functions and injective PRGs, an appropriate Gap version of MKTP is not NP-complete under randomized Levin-reductions.

Evolving secret-sharing schemes, defined by Komargodski, Naor, and Yogev [TCC 2016B, IEEE Trans. on Info. Theory 2018], are secret-sharing schemes in which there is no a-priory bound on the number of parties. In such schemes, parties arrive one by one; when a party arrives, the dealer gives it a share and cannot update this share in later stages. The requirement is that some predefined sets (called authorized sets) should be able to reconstruct the secret, while other sets should learn no information on the secret. The collection of authorized sets that can reconstruct the secret is called an evolving access structure. The challenge of the dealer is to be able to give short shares to the the current parties without knowing how many parties will arrive in the future. The requirement that the dealer cannot update shares is designed to prevent expensive updates. Komargodski et al. constructed an evolving secret-sharing scheme for every monotone evolving access structure; the share size of the $t^{\text{th}}$ party in this scheme is $2^{t-1}$. Recently, Mazor [ITC 2023] proved that evolving secret-sharing schemes require exponentially-long shares for some evolving access structure, namely shares of size $2^{t-o(t)}$.In light of these results, our goal is to construct evolving secret-sharing schemes with non-trivial share size for wide classes of evolving access structures; e.g., schemes with share size $2^{ct}$ for $c<1$ or even polynomial size. We provide several results achieving this goal: -We define layered infinite branching programs representing evolving access structures, show how to transform them into generalized infinite decision trees, and show how to construct evolving secret-sharing schemes for generalized infinite decision trees. Combining these steps, we get a secret-sharing scheme realizing the evolving access structure. As an application of this framework, we construct an evolving secret-sharing scheme with non-trivial share size for access structures that can be represented by layered infinite branching programs with width at layer $t$ of at most $2^{0.15t}$. If the width is polynomial, then we get an evolving secret-sharing scheme with quasi-polynomial share size. -We construct efficient evolving secret-sharing schemes for dynamic-threshold access structures with high dynamic-threshold and for infinite $2$ slice and $3$-slice access structures. The share size of the $t^{\text{th}}$ party in these schemes is $2^{\tilde{O}((\log t)^{1/\sqrt{2}+\epsilon})}$ for any constant $\epsilon>0$, which is comparable to the best-known share size of $2^{\tilde{O}((\log t)^{1/2}))}$ for finite $2$-slice and 3-slice access structures. -We prove lower bounds on the share size of evolving secret-sharing schemes for infinite $k$-hypergraph access structures and for infinite directed st-connectivity access structures. As a by-product of the lower bounds, we provide the first non-trivial lower bound for finite directed st-connectivity access structures for general secret-sharing schemes.

We introduce a blockchain Fair Data Exchange (FDE) protocol, enabling a storage server to transfer a data file to a client atomically: the client receives the file if and only if the server receives an agreed-upon payment. We put forth a new definition for a cryptographic scheme that we name verifiable encryption under committed key (VECK), and we propose two instantiations for this scheme. Our protocol relies on a blockchain to enforce the atomicity of the exchange and uses VECK to ensure that the client receives the correct data (matching an agreed-upon commitment) before releasing the payment for the decrypting key. Our protocol is trust-minimized and requires only constant-sized on-chain communication, concretely $3$ signatures, $1$ verification key, and $1$ secret key, with most of the data stored and communicated off-chain. It also supports exchanging only a subset of the data, can amortize the server's work across multiple clients, and offers a general framework to design alternative FDE protocols using different commitment schemes. A prominent application of our protocol is the Danksharding data availability scheme on Ethereum, which commits to data via KZG polynomial commitments. We also provide an open-source implementation for our protocol with both instantiations for VECK, demonstrating our protocol's efficiency and practicality on Ethereum.

Fully homomorphic encryption (FHE) has attracted much attention recently. Chinese remainder representation (CRR) or RNS representation is one of the core technologies of FHE. CRR basis conversion is a key step of KeySwitching procedure. Bajard et al. proposed a fast basis conversion method for CRR basis conversion, but the elimination of error had to be ignored. Halevi et al. suggested a method using floating-point arithmetic to avoid errors, but floating-point arithmetic has its own issues such as low efficiency and complex chip design. In this work, we establish a more concise and efficient CRR basis conversion method by observing that each of the ciphertext modulus selected by the CRR CKKS scheme is very close to an integer that is a power of 2. Our conversion algorithm eliminates errors and involves only integer arithmetic and bit operations. The proof of correctness of our algorithm is given. Extensive experiments are conducted and comparisons between the method of Halevi et al. and ours are obtained, which show that our method has the same accuracy and a slightly better effeciency. Our method is also applicable to the CRR variant of BGV and BFV schemes, and can be used to simplify chip design.

We present a framework for building efficient folding-based SNARKs. First we develop a new "uniformizing" compiler for NP statements that converts any poly-time computation to a sequence of identical simple steps. The resulting uniform computation is especially well-suited to be processed by a folding-based IVC scheme. Second, we develop two optimizations to folding-based IVC. The first reduces the recursive overhead of the IVC by restructuring the relation to which folding is applied. The second employs a "commit-and-fold" strategy to further simplify the relation. Together, these optimizations result in a folding-based SNARK that has a number of attractive features. First, the scheme uses a constant-size transparent common reference string (CRS). Second, the prover has (i) low memory footprint, (ii) makes only two passes over the data, (iii) is highly parallelizable, and (iv) is concretely efficient. Microbenchmarks indicate proving time is comparable to leading monolithic SNARKs, and is significantly faster than other streaming SNARKs. On a laptop, for $2^{24}$ ($2^{32}$) gates, the Mangrove prover is estimated to take $2$ minutes ($8$ hours) with peak memory usage approximately $390$ MB ($800$ MB).

Event date: 26 August to 30 August 2024

Event date: 6 July to 11 July 2025
Submission deadline: 13 September 2024
Notification: 23 October 2024

In the linear garbling model introduced by Zahur, Rosulek, and Evans (Eurocrypt 2015), garbling an AND gate requires at least \(2\kappa\) bits of ciphertext, where $\kappa$ is the security parameter. Though subsequent works, including those by Rosulek and Roy (Crypto 2021) and Acharya et al. (ACNS 2023), have advanced beyond these linear constraints, a more comprehensive design framework is yet to be developed.

Our work offers a novel, unified, and arguably simple perspective on garbled circuits. We introduce a hierarchy of models that captures all existing practical garbling schemes. By determining the lower bounds for these models, we elucidate the capabilities and limits of each. Notably, our findings suggest that simply integrating a nonlinear processing function or probabilistic considerations does not break the \(2\kappa\) lower bound by Zahur, Rosulek, and Evans. However, by incorporating column correlations, the bound can be reduced to \((1+1/w)\kappa\), where \(w\ge 1\). Additionally, we demonstrate that a straightforward extension of Rosulek and Roy's technique (Crypto 2021) does not yield improved results. We also present a methodology for crafting new models and for exploring further extensions of both the new and the existing models.

Our new models set the course for future designs. We introduce three innovative garbling schemes based on a common principle called ``majority voting.'' The third construction performs on par with the state-of-the-art.

Sponge hashing is a novel class of cryptographic hash algorithms which underlies the current international hash function standard SHA-3. In a nutshell, a sponge function takes as input a bit-stream of any length and processes it via a simple iterative procedure: it repeatedly feeds each block of the input into a so-called block function, and then produces a short digest which consists of a subset of the final output bits. While much is known about the post-quantum security of the sponge construction in the case when the block function is modeled as a random function or permutation, the case of invertible permutations, which more accurately models the construction underlying SHA-3, has so far remained a fundamental open problem.

In this work, we make new progress towards overcoming this barrier and show several results. First, we prove the ``double-sided zero-search'' conjecture proposed by Unruh (eprint' 2021) and show that finding zero-pairs in a random $2n$-bit permutation requires at least $\Omega(2^{n/2})$ many queries---and this is tight due to Grover's algorithm. At the core of our proof lies a novel ``symmetrization argument'' which uses insights from the theory of Young subgroups. Second, we consider more general variants of the double-sided search problem and show similar query lower bounds for them. As an application, we prove the quantum one-wayness of the single-round sponge with invertible permutations in the quantum random oracle model.

In a particular case, we consider the extended Maiorana-McFarland’s class to obtain balanced bent functions restricted to vectors with even Hamming weight, an equal number of pre-images for each element in the range. Additionally, we demonstrate that all bent functions are balanced when we restrict to vectors of even Hamming weight or vectors with odd Hamming weight. Given the necessary tools, we provide a simple algorithm to obtain new bent functions using Maiorana-McFarland.

A ranking function for permutations maps every permutation of length $n$ to a unique integer between $0$ and $n!-1$. For permutations of size that are of interest in cryptographic applications, evaluating such a function requires multiple-precision arithmetic. This work introduces a quasi-optimal ranking technique that allows us to rank a permutation efficiently without needing a multiple-precision arithmetic library. We present experiments that show the computational advantage of our method compared to the standard lexicographic optimal permutation ranking. As an application of our result, we show how this technique improves the signature sizes and the efficiency of PERK digital signature scheme.

The Fiat-Shamir with Aborts paradigm (FSwA) uses rejection sampling to remove a secret’s dependency on a given source distribution. Recent results revealed that unlike the uniform distribution in the hypercube, both the continuous Gaussian and the uniform distribution within the hypersphere minimise the rejection rate and the size of the proof of knowledge. However, in practice both these distributions suffer from the complexity of their sampler. So far, those three distributions are the only available alternatives, but none of them offer the best of all worlds: competitive proof of knowledge size and rejection rate with a simple sampler. We introduce a new generic framework for FSwA using polytope based rejection sampling to enable a wider variety of constructions. As a matter of fact, this framework is the first to generalise these results to integral distributions. To complement the lack of alternatives, we also propose a new polytope construction, whose uniform sampler approaches in simplicity that of the hypercube. At the same time, it provides competitive proof of knowledge size compared to that obtained from the Gaussian distribution. Concurrently, we share some experimental improvements of our construction to further reduce the proof size. Finally, we propose a signature based on the FSwA paradigm using both our framework and construction. We prove it to be competitive with Haetae in signature size and with Dilithium on sampler simplicity.

Quantum computers at some future date might be able to factor large numbers, and this poses a threat to some public key and key exchange systems in use today. This overview of recent progress in devising quantum algorithms and building quantum computing devices is meant to help technologists understand the difficult problems that quantum engineers are working on, where advances have been made, and how those things affect estimates of if and when large scale quantum computation might happen.

Imagine being able to deploy a small, battery-powered device nearly anywhere on earth that humans frequent and having it be able to send data to the cloud without needing to provision a network—without buying a physical gateway, setting up WiFi credentials, or acquiring a cellular SIM. Such a capability would address one of the greatest bottlenecks to deploying the long-tail of small, embedded, and power-constrained IoT devices in nearly any setting. Unfortunately, decoupling the device deployment from the network configuration needed to transmit, or backhaul, sensor data to the cloud remains a tricky challenge, but the success of Tile and AirTag offers hope. They have shown that mobile phones can crowd-source worldwide local network coverage to find lost items, yet expanding these systems to enable general-purpose backhaul raises privacy concerns for network participants. In this work, we present Nebula, a privacy-focused architecture for global, intermittent, and low-rate data backhaul to enable nearly any thing to eventually connect to the cloud while (i) preserving the privacy of the mobile network participants from the platform provider by decentralizing data flow through the system, (ii) incentivizing participation through micropayments, and (iii) preventing system abuse.

Before the emergence of inscriptions and ordinal protocols, Bitcoin was limited in its applications due to the Turing-incompleteness of its script language. Fortunately, with recent advances in techniques, Turing-complete off-chain execution layers are established via Bitcoin indexers. Yet, existing indexers have their data integrity and availability strongly dependent on the honesty of indexers. This violated the trustlessness and decentralization principle of the cryptocurrency literature. To provide an alternative Bitcoin indexer scheme and overcome the above limitations, we have reallocated the roles of committee indexers (for heavy computations), normal indexers, and light indexers (the client end), and established a fully user-verified execution layer based on our modular indexer protocol. For the trustless relay of data, we have adopted Verkle trees to store and prove the states. Thus, data integrity and availability are guaranteed even in the case of a majority of malicious committee indexers. Ideally, our modular indexer would safely bridge the gap between the Bitcoin layer-1 and applications from BRC-20, and contribute to the further prosperity of the Bitcoin ecosystem.