Private Information Retrieval (PIR) is a two player protocol where the client, given some query $x \in [N]$, interacts with the server, which holds a $N$-bit string $\textsf{DB}$, in order to privately retrieve $\textsf{DB}[x]$. In this work, we focus on the single-server client-preprocessing model, initially proposed by Corrigan-Gibbs and Kogan (EUROCRYPT 2020), where the client and server first run a joint preprocessing algorithm, after which the client can retrieve elements from $\textsf{DB}$ privately in time sublinear in $N$. Most known constructions of single-server client-preprocessing PIR follow one of two paradigms: They feature either (1) a linear-bandwidth offline phase where the client downloads the whole database from the server, or (2) a sublinear-bandwidth offline phase where however the server has to compute a large-depth ($\Omega_\lambda (N)$) circuit under fully-homomorphic encryption (FHE) in order to execute the preprocessing phase. In this paper, we propose $\textsf{ThorPIR}$, a single-server client preprocessing PIR scheme which achieves both sublinear offline bandwidth (asymptotically and concretely) and a low-depth, highly parallelizable preprocessing circuit. Our main insight is to use and significantly optimize the concrete circuit-depth of a much more efficient shuffling technique needed during preprocessing, called Thorp shuffle. A Thorp shuffle satisfies a weaker security property (e.g., compared to an AES permutation) which is ``just enough'' for our construction. We estimate that with a powerful server (e.g., hundreds of thousands of GPUs), $\textsf{ThorPIR}$'s end-to-end preprocessing time is faster than any prior work. Additionally, compared to prior FHE-based works with sublinear bandwidth, our construction is at least around $10,000$ times faster.

The universal composability (UC) model provides strong security guarantees for protocols used in arbitrary contexts. While these guarantees are highly desirable, in practice, schemes with a standalone proof of security, such as the Groth16 proof system, are preferred. This is because UC security typically comes with undesirable overhead, sometimes making UC-secure schemes significantly less efficient than their standalone counterparts. We establish the UC security of Groth16 without any significant overhead. In the spirit of global random oracles, we design a global (restricted) observable generic group functionality that models a natural notion of observability: computations that trace back to group elements derived from generators of other sessions are observable. This notion turns out to be surprisingly subtle to formalize. We provide a general framework for proving protocols secure in the presence of global generic groups, which we then apply to Groth16.

Identity-Based Encryption (IBE) was introduced in order to reduce the cost associated with Public Key Infrastructure systems. IBE allows users to request a trusted Key Generation Centre (KGC) for a secret key on a given identity, without the need to manage public keys. However, one of the main concerns of IBE is that the KGC has the power to decrypt all ciphertexts as it has access to all (identity, secret key) pairs. To address this issue, Chow (PKC 2009) introduced a new security property against the KGC by employing a new trusted party called the Identity Certifying Authority (ICA). Emura et al. (ESORICS 2019) formalized this notion and proposed construction in the random oracle model. In this work, we first identify several existing IBE schemes where the KGC can decrypt a ciphertext even without knowing the receiver's identity. This paves the way for formalizing new capabilities for the KGC. We then propose a new security definition to capture an adversarial KGC including the newly identified capabilities and we remove the requirement of an additional trusted party. Finally, we propose a new IBE construction that allows users to ask the KGC for a secret key on an identity without leaking any information about the identity to the KGC that is provably secure in the standard model against an adversarial KGC and corrupted users. Our construction is achieved in the composite order pairing groups and requires essentially optimal parameters.

This work proposes a multi-level compiler framework to transform programs with loop structures to efficient algorithms over fully homomorphic encryption (FHE). We observe that, when loops operate over ciphertexts, it becomes extremely challenging to effectively interpret the control structures within the loop and construct operator cost models for the main body of the loop. Consequently, most existing compiler frameworks have inadequate support for programs involving non-trivial loops, undermining the expressiveness of programming over FHE. To achieve both efficient and general program execution over FHE, we propose CHLOE, a new compiler framework with multi-level control-flow analysis for the effective optimization of compound repetition control structures. We observe that loops over FHE can be classified into two categories depending on whether the loop condition is encrypted, namely, the transparent loops and the oblivious loops. For transparent loops, we can directly inspect the control structures and build operator cost models to apply FHE-specific loop segmentation and vectorization in a fine-grained manner. Meanwhile, for oblivious loops, we derive closed-form expressions and static analysis techniques to reduce the number of potential loop paths and conditional branches. In the experiment, we show that \NAME can compile programs with complex loop structures into efficient executable codes over FHE, where the performance improvement ranges from $1.5\times$ to $54\times$ (up to $10^{5}\times$ for programs containing oblivious loops) when compared to programs produced by the-state-of-the-art FHE compilers.

We propose a solution for optimized scaling of multi-party computation using the MP-SPDZ framework (CCS’20). It does not use manual optimization but extends the compiler and the virtual machine of the framework, thus providing an improvement for any user. We found that our solution improves timings four-fold for a simple example in MP-SPDZ, and it improves an order of magnitude on every framework using secret sharing considered by Hastings et al. (S&P’19) either in terms of time or RAM usage. The core of our approach is finding a balance between communication round optimization and memory usage.

Oblivious pseudorandom function (OPRF) is a two-party cryptographic protocol that allows the receiver to input $x$ and learn $F(x)$ for some PRF $F$, only known to the sender. For private set intersection (PSI) applications, OPRF protocols have evolved to enhance efficiency, primarily using symmetric key cryptography. Current state-of-the-art protocols, such as those by Rindal and Schoppmann (Eurocrypt '21), leverage vector oblivious linear evaluation (VOLE) and oblivious key-value store (OKVS) constructions. In this work, we identify a flaw in an existing security proof, and present practical attacks in the malicious model, which results in additional PRF evaluations than the previous works' claim. In particular, the attack for malicious model is related to the concept of OKVS overfitting, whose hardness is conjectured in previous works. Our attack is the first one to discuss the concrete hardness of OKVS overfitting problem. As another flavour of contribution, we generalize OKVS-based OPRF constructions, suggesting new instantiations using a VOLE protocol with only Minicrypt assumptions. Our generalized construction shows improved performance in high-speed network environments, narrowing the efficiency gap between the OPRF constructions over Cryptomania and Minicrypt.

In this study, we present the first side-channel attack on the ARADI block cipher, exposing its vulnerabilities to physical attacks in non-profiled scenarios. We propose a novel bitwise divide-and-conquer methodology tailored for ARADI, enabling key recovery. Furthermore, based on our attack approach, we present a stepwise method for recovering the full 256-bit master key. Through experiments on power consumption traces from an ARM processor, we demonstrate successful recovery of target key bits, validating the effectiveness of our proposed method. Our findings highlight critical weaknesses in physical security of ARADI and underscore the necessity of implementing effective countermeasures to address side-channel vulnerabilities.

We introduce Lurk, a new LISP-based programming language for zk-SNARKs. Traditional approaches to programming over zero-knowledge proofs require compiling the desired computation into a flat circuit, imposing serious constraints on the size and complexity of computations that can be achieved in practice. Lurk programs are instead provided as data to the universal Lurk interpreter circuit, allowing the resulting language to be Turing-complete without compromising the size of the resulting proof artifacts. Our work describes the design and theory behind Lurk, along with detailing how its implementation of content addressing can be used to sidestep many of the usual concerns of programming zero-knowledge proofs.

As advancements in quantum computing present potential threats to current cryptographic systems, it is necessary to reconsider and adapt existing cryptographic frameworks. Among these, Grover's algorithm reduces the attack complexity of symmetric-key encryption, making it crucial to evaluate the security strength of traditional symmetric-key systems. In this paper, we implement an efficient quantum circuit for the ARIA symmetric-key encryption and estimate the required quantum resources. Our approach achieves a reduction of over 61\% in full depth and over 65.5\% in qubit usage compared to the most optimized previous research. Additionally, we estimate the cost of a Grover attack on ARIA and evaluate its post-quantum security strength.

This paper proposes a new consistency protocol that protects a key transparency log against split-view attacks and - contrary to all previous work - does not to rely on small committees of known external auditors, or out-of-band channels, or blockchains (full broadcast systems). Our approach is to use a mechanism for cryptographically selecting a small committee of random and initially undisclosed users, which are then tasked to endorse the current view of the log. The name of our protocol, Consistency-or-Die (CoD), reflects that users are guaranteed to know if they are in a consistent state or not, and upon spotting an inconsistency in the key transparency log, users stop using this resource and become inactive (die). CoD relies on well-established cryptographic building blocks, such as verifiable random functions and key-evolving signatures, for which lightweight constructions exist. We provide a novel statistical analysis for identifying optimal quorum sizes (minimal number of endorsers for a view) for various security levels and percentages of malicious users. Our experiments support that CoD is practical and can run in the background on mid-tier smart phones, for large-scale systems with billions of users.