International Association for Cryptologic Research

International Association
for Cryptologic Research

The International Association for Cryptologic Research (IACR) is a non-profit scientific organization whose purpose is to further research in cryptology and related fields. Cryptology is the science and practice of designing computation and communication systems which are secure in the presence of adversaries.

Events

crypto

Photo: John Wiley User:Jw4nvc - Santa Barbara, California [CC BY 3.0], via Wikimedia Commons

Crypto 2025
17 - 21 August 2025
Santa Barbara, USA
asiacrypt

Photo: Mikael Kristenson

Asiacrypt 2025
8 - 12 December 2025
Melbourne, Australia
eurocrypt

Photo: Pixabay

Eurocrypt 2026
10 - 14 May 2026
Rome, Italy
ches

Photo: GraphicCycle [CC BY-SA 4.0], via Wikimedia Commons

CHES 2025
14 - 18 September 2025
Kuala Lumpur, Malaysia
tcc

Photo: pxhere.com, CC0 Public Domain

TCC 2025
1 - 5 December 2025
Aarhus, Denmark
rwc

Photo: by Kenny Paterson

RWC 2026
9 - 11 March 2026
Taipei, Taiwan
fse

Photo: John-Mark Smith

FSE 2026
23 - 27 March 2026
Singapore, Singapore
pkc

Photo: Pixabay

PKC 2026
25 - 28 May 2026
West Palm Beach, USA
More events...

News

Event Calendar icon

Event Calendar: Mathematics of Post-Quantum Cryptography
Raitenhaslach, Germany, 7 September - 11 September 2026

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Event Calendar: PQCrypto 2026: International Conference on Post-Quantum Cryptography
Saint-Malo, France, 14 April - 16 April 2026

ePrint Report icon

ePrint Report: Lattice-Based Group Signatures in the Standard Model, Revisited
Nam Tran, Khoa Nguyen, Dongxi Liu, Josef Pieprzyk, Willy Susilo

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ePrint Report: BPSec-MLS: Asynchronous Key Agreement for Space Communications
Xisen Tian, Paul Westland

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ePrint Report: Computationally-Sound Symbolic Cryptography in Lean
Stefan Dziembowski, Grzegorz Fabiański, Daniele Micciancio, Rafał Stefański

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ePrint Report: A Constant-Rate Compiler for MPC over Noisy Networks
Ran Gelles, Carmit Hazay, Manuj Mukherjee, Jaspal Singh, Arun Yeragudipati, Vassilis Zikas

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ePrint Report: SNARK Lower Bounds via Communication Complexity
Rishabh Bhadauria, Alexander R. Block, Prantar Ghosh, Justin Thaler

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ePrint Report: Extract Discriminative Features: Profiled Side-Channel Analysis for Cryptosystems Based on Supervised Contrastive Learning
Zoushaojie Jiang, An Wang, Yaoling Ding, Annv Liu, Zheng Liu, Jing Yu, Liehuang Zhu

More news...