English

An efficient structural attack on NIST submission DAGS

Cryptography and Security 2018-09-24 v2 Information Theory math.IT
Authors: Elise Barelli , Alain Couvreur
View on arXiv ↗ PDF ↗

Abstract

We present an efficient key recovery attack on code based encryption schemes using some quasi-dyadic alternant codes with extension degree 2. This attack permits to break the proposal DAGS recently submitted to NIST.

Cite

@article{arxiv.1805.05429,
  title  = {An efficient structural attack on NIST submission DAGS},
  author = {Elise Barelli and Alain Couvreur},
  journal= {arXiv preprint arXiv:1805.05429},
  year   = {2018}
}

Related papers

View all related →
Cryptography and Security · Computer Science
On the equivalence of authentication codes and robust (2,2)-threshold schemes
Maura B. Paterson, Douglas R. Stinson
2019-10-15
Information Theory · Computer Science
Secure Determinant Codes for Distributed Storage Systems
Adel Elmahdy, Michelle Kleckler, Soheil Mohajer
2023-01-02
Cryptography and Security · Computer Science
GF-Flush: A GF(2) Algebraic Attack on Secure Scan Chains
Dake Chen, Chunxiao Lin, Peter A. Beerel
2021-02-01
Machine Learning · Computer Science
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks
Rajeev Sahay, Rehana Mahfuz, Aly El Gamal
2019-06-14
Cryptography and Security · Computer Science
A Highly Accurate Query-Recovery Attack against Searchable Encryption using Non-Indexed Documents
Marc Damie, Florian Hahn, Andreas Peter
2023-06-28
Cryptography and Security · Computer Science
Attacking Hardware AES with DFA
Yifan Lu
2019-02-26
Cryptography and Security · Computer Science
Attack as Defense: Characterizing Adversarial Examples using Robustness
Zhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang +2
2021-03-16
Neural and Evolutionary Computing · Computer Science
Intelligent Systems for Information Security
Ayman M. Bahaa-Eldin
2014-01-16
Cryptography and Security · Computer Science
Is Robust Design-for-Security Robust Enough? Attack on Locked Circuits with Restricted Scan Chain Access
Nimisha Limaye, Abhrajit Sengupta, Mohammed Nabeel, Ozgur Sinanoglu
2019-06-20
Machine Learning · Computer Science
Gradient Inversion Transcript: Leveraging Robust Generative Priors to Reconstruct Training Data from Gradient Leakage
Xinping Chen, Chen Liu
2025-05-27
Machine Learning · Computer Science
Efficient Neural Architecture Search via Proximal Iterations
Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu
2019-11-22
Cryptography and Security · Computer Science
Cryptanalysis of a One-Time Code-Based Digital Signature Scheme
Paolo Santini, Marco Baldi, Franco Chiaraluce
2019-01-25
Machine Learning · Computer Science
Certifiably Robust RAG against Retrieval Corruption
Chong Xiang, Tong Wu, Zexuan Zhong, David Wagner +2
2026-04-02
Computer Vision and Pattern Recognition · Computer Science
Adversarial Attack and Defense in Deep Ranking
Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang +2
2021-06-08
Information Theory · Computer Science
A structural attack to the DME-(3,2,q) cryptosystem
Martin Avendano, Miguel A. Marco-Buzunariz
2020-02-26
Cryptography and Security · Computer Science
Security analysis of an audio data encryption scheme based on key chaining and DNA encoding
Imad El Hanouti, Hakim El Fadili
2021-06-21
Machine Learning · Computer Science
Differentiable Architecture Search for Reinforcement Learning
Yingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng +3
2022-11-16
Cryptography and Security · Computer Science
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN
Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang +6
2022-08-24
Quantum Physics · Physics
Improving quantum dense key distribution
Z. J. Zhang, Z. X. Man
2007-05-23
Cryptography and Security · Computer Science
Recovering AES Keys with a Deep Cold Boot Attack
Itamar Zimerman, Eliya Nachmani, Lior Wolf
2021-06-10
Cryptography and Security · Computer Science
A directional coupler attack against the Kish key distribution system
Lachlan J. Gunn, Andrew Allison, Derek Abbott
2014-05-21
Cryptography and Security · Computer Science
Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques
Han Qiu, Yi Zeng, Qinkai Zheng, Tianwei Zhang +2
2020-05-29
Machine Learning · Computer Science
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
Omer Faruk Tuna, Ferhat Ozgur Catak, M. Taner Eskil
2021-02-16
Computer Vision and Pattern Recognition · Computer Science
SSTA: Salient Spatially Transformed Attack
Renyang Liu, Wei Zhou, Sixin Wu, Jun Zhao +1
2023-12-13
Machine Learning · Computer Science
Denoising Autoencoder-based Defensive Distillation as an Adversarial Robustness Algorithm
Bakary Badjie, José Cecílio, António Casimiro
2023-03-29
R2 v1 2026-06-23T01:54:48.722Z