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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
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Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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On a lattice-based post-quantum ring signature scheme

Journal of Computer Virology and Hacking Techniques. 2026. No. 22.
Kuninets A., Malygina E., Nesterenko A., Kurochkin A. V.

This work describes a post-quantum lattice-based linkable ring signature scheme over NTRU lattices, constructed within the Raptor framework. Our design incorporates the Ducas–Prest Gaussian sampler, the signature generation and verification algorithms from the Falcon scheme, and the key generation algorithm from the Mitaka scheme. This hybrid approach combines Falcon’s compact signatures and fast verification with Mitaka’s efficient key generation and enhanced resistance to side-channel attacks. We obtain our scheme by adapting Falcon’s signing and verification procedures to operate with the Ducas–Prest sampler and Mitaka-style trapdoor generation. This yields a construction that maintains competitive performance for small ring sizes while avoiding floating-point arithmetic, making it more suitable for constrained or embedded platforms. The resulting scheme leverages the advantages of the original Raptor framework and the Mitaka scheme, offering a favorable balance between signature size, verification speed, and computational complexity, while enabling instantiation over a wide range of cyclotomic parameters. An additional feature of the proposed ring signature is the ability to choose an arbitrary number of ring members. Moreover, for the small ring sizes required in most blockchain applications, we achieve public key and signature sizes comparable to other lattice-based ring signatures that do not allow such flexibility in the number of ring members. Finally, we discuss signature applicability in privacy-focused blockchain protocols such as Monero, where linkable ring signatures enable unlinkability and accountability, and in confidential asset systems, where multi-asset transaction integrity and anonymity must be preserved.

Language: English
DOI
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Keywords: blockchain technologyблокчейн-технологиипостквантовая криптографияpost-quantum cryptographylattice-based cryptographylinkable ring signaturesсвязываемые кольцевые подписикриптография на решётках
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