International Association
for Cryptologic Research

Recently, as quantum computing technology develops, the importance of quantum resistant cryptography technology is increasing. AIMer is a quantum-resistant cryptographic algorithm that was selected as the first candidate in the electronic signature section of the KpqC Contest, and uses symmetric primitive AIM. In this paper, we propose a high-speed implementation technique of symmetric primitive AIM and evaluate the performance of the implementation. The proposed techniques are two methods, a Mer operation optimization technique and a linear layer operation simplification technique, and as a result of performance measurement, it achieved a performance improvement of up to 97.9% compared to the existing reference code. This paper is the first study to optimize the implementation of AIM.

This paper explores the optimization of quantum circuits for Argon2, a memory-hard function used for password hashing and other applications. With the rise of quantum computers, the security of classical cryptographic systems is at risk. It emphasizes the need to accurately measure the quantum security strength of cryptographic schemes using optimized quantum circuits. The proposed method focuses on two perspectives: qubit reduction (qubit optimization) and depth reduction (depth optimization). The qubit-optimized quantum circuit was designed to find a point where an appropriate inverse is possible and reuses the qubit through the inverse to minimize the number of qubits. The start point and end point of the inverse are set by finding a point where qubits can be reused with minimal computation. The depth-optimized quantum circuit reduces the depth by using the minimum number of qubits as necessary without performing an inverse operation. The trade-off between qubit and depth is confirmed by modifying the internal structure of the circuits and the quantum adders. Qubit optimization achieved up to a 12,229 qubit reduction, while depth optimization resulted in approximately 196,741 (approximately 69.02%) depth reduction. In conclusion, this research demonstrates the importance of implementing and analyzing quantum circuits from various optimization perspectives. The results contribute to the post-quantum strength analysis of Argon2 and provide valuable insights for future research on quantum circuit design, considering the appropriate trade-offs of quantum resources in response to advancements in quantum computing technology.

This paper focuses on the GPU implementation of the Pilsung block cipher used in the Red Star 3.0 operating system developed in North Korea. The Pilsung block cipher is designed based on AES. One notable feature of the Pilsung block cipher is that the table calculations required for encryption take longer than the encryption process itself. This paper emphasizes the parallel implementation of the Pilsung block cipher by leveraging the parallel processing capabilities of GPUs and evaluates the performance of the Pilsung block cipher. Techniques for optimization are proposed, including the use of Pinned memory to reduce data transfer time and work distribution between the CPU and GPU. Pinned memory helps optimize data transfer, and work distribution between the CPU and GPU needs to be considered for efficient parallel processing. Performance measurements were performed using the Nvidia GTX 3060 laptop for evaluation, comparing the results of applying Pinned memory usage and work distribution optimization. As a result, optimizing memory transfer costs was found to have a greater impact on performance improvement. When both techniques were applied together, approximately a 1.44 times performance improvement was observed.

Private payments in blockchain-based cryptocurrencies have been a topic of research, both academic and industrial, ever since the advent of Bitcoin. Stealth address payments were proposed as a solution to improve payment privacy for users and are, in fact, deployed in several major cryptocurrencies today. The mechanism lets users receive payments so that none of these payments are linkable to each other or the recipient. Currently known stealth address mechanisms either (1) are insecure in certain reasonable adversarial models, (2) are inefficient in practice or (3) are incompatible with many existing currencies. In this work, we formalize the underlying cryptographic abstraction of this mechanism, namely, stealth signatures with formal game-based definitions. We show a surprising application of our notions to passwordless authentication defined in the Fast IDentity Online (FIDO) standard. We then present SPIRIT, the first efficient post-quantum secure stealth signature construction based on the NIST standardized signature and key-encapsulation schemes, Dilithium and Kyber. The basic form of SPIRIT is only secure in a weak security model, but we provide an efficiency-preserving and generic transform, which boosts the security of SPIRIT to guarantee the strongest security notion defined in this work. Compared to state-of-the-art, there is an approximately 800x improvement in the signature size while keeping signing and verification as efficient as 0.2 ms. We extend SPIRIT with a fuzzy tracking functionality where recipients can outsource the tracking of incoming transactions to a tracking server, satisfying an anonymity notion similar to that of fuzzy message detection (FMD) recently introduced in [CCS 2021]. We also extend SPIRIT with a new fuzzy tracking framework called scalable fuzzy tracking that we introduce in this work. This new framework can be considered as a dual of FMD, in that it reduces the tracking server's computational workload to sublinear in the number of users, as opposed to linear in FMD. Experimental results show that, for millions of users, the server only needs 3.4 ms to filter each incoming message which is a significant improvement upon the state-of-the-art.

ChatGPT is recognized as a significant revolution in the field of artificial intelligence, but it raises serious concerns regarding user privacy, as the data submitted by users may contain sensitive information. Existing solutions for secure inference face significant challenges in supporting GPT-like models due to the enormous number of model parameters and complex activation functions.

In this paper, we develop CipherGPT, the $\mathit{first}$ framework for secure two-party GPT inference, building upon a series of innovative protocols. First, we propose a secure matrix multiplication that is customized for GPT inference, achieving upto 2.5$\times$ speedup and 11.2$\times$ bandwidth reduction over SOTA. We also propose a novel protocol for securely computing GELU, surpassing SOTA by 4.2$\times$ in runtime, 3.4$\times$ in communication and 10.9$\times$ in precision. Furthermore, we come up with the first protocol for top-k sampling.

We provide a full-fledged implementation and comprehensive benchmark for CipherGPT. In particular, we measure the runtime and communication for each individual operation, along with their corresponding proportions. We believe this can serve as a reference for future research in this area.

The Structured Encryption (StE) framework can be used to capture the encryption and querying of complex data structures on an honest-but-curious server. In this work, we introduce a new type of StE called indirectly addressed multimap encryption (IA-MME). We propose two IA-MME schemes: the the layered multimaps approach which extends and generalizes the existing "multimap chaining" approach, and a novel technique called the single multimap approach which has comparable efficiency and strictly better security. We demonstrate that our formalisms simplify and modularize StE solutions for real-world use cases in searchable encryption and SQL databases, and provide simulations demonstrating that our IA-MME constructions lead to tangible efficiency and security gains on realistic data.

We instantiate two random oracle (RO) transformations using Zhandry's extremely lossy function (ELF) technique (Crypto'16).

Firstly, using ELFs and indistinguishabililty obfuscation (iO), we instantiate a modified version of the Fujisaki-Okamoto (FO) transform which upgrades a public-key encryption scheme (PKE) from indistinguishability under chosen plaintext attacks (IND-CPA) to indistinguishability under chosen ciphertext attacks (IND-CCA). We side-step a prior uninstantiability result for FO by Brzuska, Farshim, and Mittelbach (TCC'15) by (1) hiding the randomness from the (potentially ill-designed) IND-CPA encryption scheme and (2) embedding an additional secret related to the hash-function into the secret-key of the IND-CCA-secure PKE, an idea brought forward by Murphy, O’Neill, Zaheri (Asiacrypt 2022) who also instantiate a modified FO variant also under ELFs and iO for the class of lossy PKE. Our transformation applies to all PKE which can be inverted given their randomness.

Secondly, we instantiate the hash-then-evaluate paradigm for pseudorandom functions (PRFs), $\mathsf{PRF}_\mathsf{new}(k,x):=\mathsf{wPRF}(k,\mathsf{RO}(x))$. Our construction replaces $\mathsf{RO}$ by $\mathsf{PRF}_\mathsf{old}(k_\mathsf{pub},\mathsf{elf}(x))$ with a key $k_\mathsf{pub}$, that, unusually, is known to the distinguishing adversary against $\mathsf{PRF}_\mathsf{new}$. We start by observing that several existing weak PRF candidates are plausibly also secure under such distributions of pseudorandom inputs, generated by $\mathsf{PRF}_\mathsf{old}$. Firstly, analogous cryptanalysis applies and/or an attack with such pseudorandom inputs would imply surprising results such as key agreement from the high-noise version of the Learning Parity with Noise (LPN) assumption. Our simple transformation applies to the entire family of PRF-style functions. Specifically, we obtain results for oblivious PRFs, which are a core building block for password-based authenticated key exchange (PAKE) and private set intersection (PSI) protocols, and we also obtain results for pseudorandom correlation functions (PCF), which are a key tool for silent oblivious transfer (OT) extension.

As interest in metadata-hiding communication grows in both research and practice, a need exists for stronger abuse reporting features on metadata-hiding platforms. While message franking has been deployed on major end-to-end encrypted platforms as a lightweight and effective abuse reporting feature, there is no comparable technique for metadata-hiding platforms. Existing efforts to support abuse reporting in this setting, such as asymmetric message franking or the Hecate scheme, require order of magnitude increases in client and server computation or fundamental changes to the architecture of messaging systems. As a result, while metadata-hiding communication inches closer to practice, critical content moderation concerns remain unaddressed.

This paper demonstrates that, for broad classes of metadata-hiding schemes, lightweight abuse reporting can be deployed with minimal changes to the overall architecture of the system. Our insight is that much of the structure needed to support abuse reporting already exists in these schemes. By taking a non-generic approach, we can reuse this structure to achieve abuse reporting with minimal overhead. In particular, we show how to modify schemes based on secret sharing user inputs to support a message franking-style protocol. Compared to prior work, our shared franking technique results in a $50\%$ reduction in the time to prepare a franked message and order of magnitude reductions in server-side message processing times, as well as the time to decrypt a message and verify a report.

Real-world cryptographic implementations nowadays are not only attacked via classical cryptanalysis but also via implementation attacks, including passive attacks (observing side-channel information about the inner computation) and active attacks (inserting faults into the computation). While countermeasures exist for each type of attack, countermeasures against combined attacks have only been considered recently. Masking is a standard technique for protecting against passive side-channel attacks, but protecting against active attacks with additive masking is challenging. Previous approaches include running multiple copies of a masked computation, requiring a large amount of randomness or being vulnerable to horizontal attacks. An alternative approach is polynomial masking, which is inherently fault-resistant.

This work presents a compiler based on polynomial masking that achieves linear computational complexity for affine functions and cubic complexity for non-linear functions. The resulting compiler is secure against attackers using region probes and adaptive faults. In addition, the notion of fault-invariance is introduced to improve security against combined attacks without the need to consider all possible fault combinations. Our approach has the best-known asymptotic efficiency among all known approaches.

One of the central questions in cryptology is how efficient generic constructions of cryptographic primitives can be. Gennaro, Gertner, Katz, and Trevisan [SIAM J. Compt. 2005] studied the lower bounds of the number of invocations of a (trapdoor) oneway permutation in order to construct cryptographic schemes, e.g., pseudorandom number generators, digital signatures, and public-key and symmetric-key encryption.

Recently quantum machines have been explored to _construct_ cryptographic primitives other than quantum key distribution. This paper studies the efficiency of _quantum_ black-box constructions of cryptographic primitives when the communications are _classical_. Following Gennaro et al., we give the lower bounds of the number of invocations of an underlying quantumly-computable quantum-oneway permutation (QC-qOWP) when the _quantum_ construction of pseudorandom number generator (PRG) and symmetric-key encryption (SKE) is weakly black-box. Our results show that the quantum black-box constructions of PRG and SKE do not improve the number of invocations of an underlying QC-qOWP.

Albeit its many benefits, masking cryptographic hardware designs has proven to be a non-trivial and error-prone task, even for experienced engineers. Masked variants of atomic logic gates, like AND or XOR - commonly referred to as gadgets - aim to facilitate the process of masking large circuits by offering free composition while sustaining the overall design's security in the $d$-probing adversary model. A wide variety of research has already been conducted to (i) find formal properties a gadget must fulfill to guarantee composability and (ii) construct gadgets that fulfill these properties, while minimizing overhead requirements. In all existing composition frameworks like NI/SNI/PINI and all corresponding gadget realizations, the security argument relies on the fact that each gadget requires individual fresh randomness. Naturally, this approach leads to very high randomness requirements of the resulting composed circuit. In this work, we present composable gadgets with reused fresh masks (COMAR), allowing the composition of any first-order secure hardware circuit utilizing only $6$ fresh masks in total. By construction, our newly presented gadgets render individual fresh randomness unnecessary, while retaining free composition and first-order security in the robust probing model. More precisely, we give an instantiation of gadgets realizing arbitrary XOR and AND gates with an arbitrary number of inputs which can be trivially extended to all basic logic gates. With these, we break the linear dependency between the number of (non-linear) gates in a circuit and the randomness requirements, hence offering the designers the possibility to highly optimize a masked circuit's randomness requirements while keeping error susceptibility to a minimum.

In the past years, research on Shor’s algorithm for solving elliptic curves for discrete logarithm problems (Shor’s ECDLP), the basis for cracking elliptic curve-based cryptosystems (ECC), has started to garner more significant interest. To achieve this, most works focus on quantum point addition subroutines to realize the double scalar multiplication circuit, an essential part of Shor’s ECDLP, whereas the point doubling subroutines are often overlooked. In this paper, we investigate the quantum point doubling circuit for the stricter assumption of Shor’s algorithm when doubling a point should also be taken into consideration. In particular, we analyze the challenges on implementing the circuit and provide the solution. Subsequently, we design and optimize the corresponding quantum circuit, and analyze the high-level quantum resource cost of the circuit. Additionally, we discuss the implications of our findings, including the concerns for its integration with point addition for a complete double scalar multiplication circuit and the potential opportunities resulting from its implementation. Our work lays the foundation for further evaluation of Shor’s ECDLP.

Event date: 19 December to 21 December 2023
Submission deadline: 22 September 2023
Notification: 27 October 2023

The role

We are looking for Research Scientists to join our Research Team. We are looking for accomplished researchers with a PhD in relevant areas of computer science interested in working on various aspects of the complex system that Matter Labs is building, including security, performance, networking, hardware, programming languages, program correctness, and various aspects of applied cryptography related to zero-knowledge proofs.

We expect you to have a track record of research in a relevant area and to be connected to both the academic community and industrial practice. Experience of working on other blockchain projects is a plus but not a requirement.

What You'll Be Doing

We expect you to be an expert in your field and to apply your knowledge and expertise to come up with solutions relevant to what Matter Labs is building We expect you to work with both research scientists as well as engineers and engineering managers to get what you produce deployed We expect you to be a member of the academic community and to read and possibly write papers, listen and possibly give presentations, in order to stay abreast of the most recent developments as they happen

What We Look For in You

Experience in one (or more) of the following areas: performance (distributed systems, runtimes, networking stack), security, verification and/or machine learning A PhD in computer science or related discipline A track record of research relevant to or deployed in an industrial setting Ability and willingness to produce technical blogs, reports, and papers Deep understanding of software engineering best-practices Ownership mindset and a track record of successfully accomplished projects In-depth knowledge of common algorithms, data structures, and their computational & memory complexities Proven publication history Experience implementing complex prototypes both from scratch and based on existing code bases Ability to produce code that leads to industrial deployment English is your native language or you are completely fluent

Closing date for applications:

Contact: JJ McCarthy

More information: https://jobs.eu.lever.co/matterlabs/7c278152-e5b3-4c20-8014-af40100c1c05

Description. Candidates will work in the area of post-quantum cryptography. Candidates will conduct research on design and analysis of post-quantum cryptography. The works require to carry out some simulations.

Requirements. Candidates are required to have a PhD degree in Mathematics or Computer Science or Engineering. Experience in one or more of these relevant/ background areas is an advantage: cryptography, algebra, algebraic number theory or coding theory. Programming skill in Magma software or SAGEMATH software is an advantage. Candidate must be a team worker and able to conduct independent research.

Information and application. All candidates should include their full CV and transcripts and send to Dr Chik How Tan (email to: tsltch@nus.edu.sg ). We encourage early applications and review of applications will begin immediately. Only shortlisted applications will be notified.

Closing date for applications:

Contact: Dr Chik How Tan (tsltch@nus.edu.sg)

We are looking for a bright and motivated PhD student to work in the topics of information security and cryptography.

The student is expected to work on topics that include security and privacy issues in authentication. More precisely, the student will be working on investigating efficient and privacy-preserving authentication that provides: i) provable security guarantees, and ii) rigorous privacy guarantees.

Key Responsibilities:

• Perform exciting and challenging research in the domain of information security and cryptography.
• Support and assist in teaching computer security and cryptography courses.

Profile:

• The PhD student is expected to have a MSc degree or equivalent, and strong background in cryptography, network security and mathematics.
• Experience in one or more domains such as cryptography, design of protocols, secure multi-party computation and differential privacy is beneficial.
• Excellent programming skills.
• Excellent written and verbal communication skills in English

The Chair of Cyber Security, https://cybersecurity.unisg.ch/, led by Prof. Katerina Mitrokotsa, is a part of the Institute of Computer Science (ICS) at the University of St.Gallen. Our research interests are centered around information security and applied cryptography, with the larger goal of safeguarding communications and providing strong privacy guarantees. We are currently active in multiple areas including the design of provably secure cryptographic protocols and cryptographic primitives that can be employed for reliable authentication, outsourcing computations in cloud-assisted settings, network security problems as well as secure and privacy-preserving machine learning. As a doctoral student you will be a part of the Doctoral School of Computer Science (DCS), https://dcs.unisg.ch.

The starting date for the position is flexible and come with a very competitive salary. The selection process runs until the suitable candidate has been found.

Please apply by 15th August 2023 through the job portal (via link).

Closing date for applications:

Contact: Please apply via the job portal.

More information: https://jobs.unisg.ch/offene-stellen/funded-phd-student-in-applied-cryptography-privacy-preserving-authentication-m-f-d/e7a9e90b-02cd-45d0-ad4f-fc02131eaf86

There is an open call for a Postdoc position in the Cyber Security and Applied Cryptograhy research group at the Institute of Computer Science, University of St.Gallen, led by Prof. Katerina Mitrokotsa.

Our research interests are centered around information security and applied cryptography, with the larger goal of safeguarding communications and providing strong privacy guarantees. We are active in several areas, a subset of which include:

• Verifiable computation
• Secure, private and distributed aggregation
• Secure multi-party computation
• Privacy-preserving biometric authentication
• Anonymous credentials
• Distributed and privacy-preserving authentication

Candidates should have a strong background in applied cryptography and provable security, are able to work independently and also collaborate in a team. Applicants must hold a Ph.D., with contributions in the relevant research topics and have publications in good venues.

The starting date for the position is flexible and come with a very competitive salary. The selection process runs until the suitable candidate has been found. The University of St.Gallen conducts excellent research with international implications. The city of St.Gallen is located one hour from Zurich and offers a high quality of life.

Please apply by 15th August 2023 through the job portal (via link).

Closing date for applications:

Contact: Please apply via the job portal.

More information: https://jobs.unisg.ch/offene-stellen/postdoc-fellow-in-cryptography-information-security-m-f-d/25ddb9d0-5c47-41ac-8bde-5789dbaca5c4

Event date: 1 May to 4 May 2024
Submission deadline: 21 August 2023
Notification: 15 October 2023

Event date: 29 November to 1 December 2023
Submission deadline: 15 September 2023
Notification: 10 November 2023

We consider the fundamental problem of designing classical consensus-related distributed abstractions for large-scale networks, where the number of parties can be huge. Specifically, we consider tasks such as Byzantine Agreement, Broadcast, and Committee Election, and our goal is to design scalable protocols in the sense that each honest party processes and sends a number of bits which is sub-linear in $n$, the total number of parties.

In this work, we construct the first such scalable protocols for all of the above tasks. In our protocols, each party processes and sends $\tilde O (\sqrt n)$ bits throughout $\tilde O (1)$ rounds of communication, and correctness is guaranteed for at most $1/3-\epsilon$ fraction of static byzantine corruptions for every constant $\epsilon>0$ (in the full information model). All previous protocols for the considered agreement tasks were non-scalable, either because the communication complexity was linear or because the computational complexity was super polynomial.

We complement our result with a matching lower bound showing that any Byzantine Agreement protocol must have $\Omega(\sqrt n)$ complexity in our model. Previously, the state of the art was the well-known $\tilde\Omega(\sqrt[3]{n})$ lower bound of Holtby, Kapron, and King (Distributed Computing, 2008).