NTT Delivers Award-winning Research at Asiacrypt 2022

November 30, 2022

SUNNYVALE, Calif., Nov. 30, 2022 — NTT Research, Inc. today announced that scientists from its Cryptography & Information Security (CIS) Lab and NTT R&D’s Social Informatics Laboratories (SIL) co-authored ten papers being delivered at Asiacrypt 2022, one of the leading international conferences on cryptologic research. Two of these papers won the conference’s Best Paper Awards: one paper on quantum equivalence co-authored by CIS Lab Senior Scientist Mark Zhandry, and another on elliptic curves co-authored by NTT SIL Distinguished Researcher Mehdi Tibouchi. Other members of the CIS Lab and SIL contributed three and four papers, respectively. One additional paper had both CIS Lab and SIL co-authors. Organized by the International Association for Cryptologic Research (IACR), this year’s hybrid event will take place in Taipei, December 5-9.

The Asiacrypt 2022 program committee, comprised of more than 80 experts, accepted nearly 100 submissions this year. According to the conference program, the two award-winning papers will be presented on Monday, December 6, at 7:40 pm EDT, during a special opening session. A third “best early career researcher” paper will also be recognized. The eight other NTT-affiliated papers will be presented in sessions on authenticated encryption, blockchains, functional encryption, random sources in private computation and symmetric cryptography.

Dr. Zhandry co-authored his paper with Dr. Hart Montgomery, chief technology officer of the Hyperledger Foundation, part of the Linux Foundation. Their paper, titled “Full Quantum Equivalence of Group Action DLog and CDH, and More,” demonstrates that two computationally hard problems – discrete logarithms (DLog) and computational Diffie-Hellman (CDH) – when structured as group actions are equally resistant to quantum attacks. Dr. Tibouchi’s co-authors, Drs. Jorge Chávez-Saab and Francisco Rodríguez-Henríquez, are members of the Computer Science Department, Cinvestav IPN (The Center for Research and Advanced Studies of the National Polytechnic Institute), in Mexico City, and the Cryptography Research Centre, Technology Innovation Institute, in Abu Dhabi. Their paper, titled “SwiftEC: Shallue-van de Woestijne Indifferentiable Function to Elliptic Curves,” shows how hashing to elliptic curves can be made faster and indifferentiable from a random oracle.

“Congratulations to Mark Zhandry, Mehdi Tibouchi and their co-authors for these two Best Paper Awards, and to all the authors of papers being presented at this year’s Asiacrypt,” NTT Research President and CEO Kazuhiro Gomi said. “It is once again exciting to see members of our CIS Lab and our colleagues at the NTT Social Informatics Labs making strong, original contributions across a wide range of topics.”

The Montgomery-Zhandry paper addresses a mismatch in confidence regarding quantum-secure assumptions. Quantum computing, via the Shor algorithm, can break both DLog and Diffie-Hellman (DH) when in groups, but these two problems are plausibly immune from quantum attack in group actions. In mathematical theory, group actions, such as those built from isogenies (aka, maps) on elliptic curves, can be endowed with hardness properties. While the cryptographic community has focused on attacking DLog – the failure of which attacks has boosted the status of DLog’s security – cryptosystems more often depend on DH. In other words, that focus has led to a lack of confidence in the cryptographic problem that matters most. This paper remedies that deficit for a set of group actions (namely, abelian ones, or those exhibiting commutative properties) in the quantum setting. “By showing that the group action versions of DLog and DH are equivalent from the perspective of quantum computers, we show that DH is just as likely to be secure as DLog,” Zhandry said. “This allows us to automatically lift our confidence in DLog to confidence in DH, and therefore all cryptosystems relying on DH.”

The paper by Tibouchi et al. focuses on a technique – the Shallue-van de Woestijne (SW) map – that enables hashing arbitrary values to points on an elliptic curve, a required step in many cryptographic constructions. The authors note that while SW applies to nearly all elliptic curves over finite fields, it lacks “the desirable property of being indifferentiable from a random oracle when composed with a random oracle to the base field.” Because behaving “like a random oracle” is required for many cryptographic schemes, instantiating an indifferentiable function in practice has become a priority. To improve upon attempts to date, the authors associate SW with a one-parameter family of encodings that enables more cost-efficient (i.e., faster) computation while achieving indifferentiable hashing to most curves. As a result, implementers should no longer have to choose between two existing approaches: “one which is secure in all cases but slower, and one which is faster but requires a careful analysis to ascertain that it does not fully compromise the security of the scheme.”

Both papers are timely. Interest in post-quantum cryptography (PQC) has grown alongside the related National Institute of Standards and Technology (NIST) competition. While NIST has announced that it favors lattice-based candidates, it has also encouraged further research into isogeny-based cryptography. Two Asiacrypt 2022-affiliated workshops focus on quantum cryptography and PQC standardization and migration. As for hashing to elliptic curves, that was the subject of a recent draft document of the Crypto Forum Research Group (CFRG) within the Internet Research Task Force (IRTF). Responding to the call for “original research papers on all aspects of cryptology,” CIS Lab and NTT CIL scientists also co-authored the following papers on several other topics:

  • A modular approach to the Incompressibility of Block-Cipher-Based AEADs” (CIL).
  • “Classically Verifiable NIZK for QMA with Preprocessing” (CIL).
  • “Compact FE for Unbounded Attribute-Weighted Sums for Logspace from SXDH” (CIS Lab/CIL).
  • “Efficient Adaptively-Secure Byzantine Agreement for Long Messages” (CIS Lab).
  • “Functional Encryption with Secure Key Leasing” (CIL).
  • “Key-Reduced Variants of 3kf9 with Beyond-Birthday-Bound Security” (CIL).
  • “Practical Provably Secure Flooding for Blockchains” (CIS Lab).
  • “Witness Encryption and Null IO from Evasive LWE” (CIS Lab).

As part of a research organization founded in 2019, the CIS Lab has quickly become a hub of cryptographic excellence. At Crypto 2022, its members authored or co-authored 17 papers, one of which, co-authored by CIS Lab Director Brent Waters, won the event’s Best Paper Award. In related news, Dr. Zhandry and NTT SIL Distinguished Researcher Takashi Yamakawa devised a “breakthrough” approach to verifying quantum advantage in a paper that was discussed at a Simons Institute for the Theory of Computing workshop this summer. For more on Dr. Zhandry, who also won a Best Paper Award at Eurocrypt 2019 and a Best Early Career Award at Crypto 2016, see this profile and Q&A from March 2022.

The proceedings of the IACR’s flagship conferences, including Asiacrypt, are published by Springer in its Lecture Notes in Computer Science series. To attend the event, please visit the AsiaCrypt 2022 registration page.


Source: NTT

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's latest weapon in the AI battle with GPU maker Nvidia and clou Read more…

ISC 2024 Student Cluster Competition

May 16, 2024

The 2024 ISC 2024 competition welcomed 19 virtual (remote) and eight in-person teams. The in-person teams participated in the conference venue and, while the virtual teams competed using the Bridges-2 supercomputers at t Read more…

Grace Hopper Gets Busy with Science 

May 16, 2024

Nvidia’s new Grace Hopper Superchip (GH200) processor has landed in nine new worldwide systems. The GH200 is a recently announced chip from Nvidia that eliminates the PCI bus from the CPU/GPU communications pathway.  Read more…

Europe’s Race towards Quantum-HPC Integration and Quantum Advantage

May 16, 2024

What an interesting panel, Quantum Advantage — Where are We and What is Needed? While the panelists looked slightly weary — their’s was, after all, one of the last panels at ISC 2024 — the discussion was fascinat Read more…

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can uncover patterns, generate insights, and make predictions that Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top500 list of the fastest supercomputers in the world. At s Read more…

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Europe’s Race towards Quantum-HPC Integration and Quantum Advantage

May 16, 2024

What an interesting panel, Quantum Advantage — Where are We and What is Needed? While the panelists looked slightly weary — their’s was, after all, one of Read more…

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can un Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

ISC 2024 Keynote: High-precision Computing Will Be a Foundation for AI Models

May 15, 2024

Some scientific computing applications cannot sacrifice accuracy and will always require high-precision computing. Therefore, conventional high-performance c Read more…

Shutterstock 493860193

Linux Foundation Announces the Launch of the High-Performance Software Foundation

May 14, 2024

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is excited to announce the launch of the High-Performance Softw Read more…

ISC 2024: Hyperion Research Predicts HPC Market Rebound after Flat 2023

May 13, 2024

First, the top line: the overall HPC market was flat in 2023 at roughly $37 billion, bogged down by supply chain issues and slowed acceptance of some larger sys Read more…

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Leading Solution Providers

Contributors

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have b Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire