Results 41 to 50 of about 14,185 (168)
Automated graphical user interface (GUI) testing is essential for ensuring mobile app quality. However, existing related methods lack deep GUI understanding and cannot segment specific functions for targeted testing, resulting in wasted test events and ...
Zhanhui Yuan +5 more
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Efficient High-Order Masking of FrodoKEM’s CDT-Based Gaussian Sampler
FrodoKEM is a conservative lattice-based KEM based on the Learning With Errors problem. While it was not selected for NIST standardization, it remains a strong candidate for high-security applications and is recommended by several national agencies ...
Elie Eid +3 more
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Elementary review article on quantum cryptography.
Dusek, Miloslav +2 more
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Intent vulnerabilities pose a significant threat as they allow attackers to exploit unverified intent messages, leading to sensitive data leaks, privilege escalations, or unauthorized actions that compromise user privacy and system security.
Zhanhui Yuan +4 more
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Circuit-noise-resilient virtual distillation
Quantum error mitigation (QEM) is vital for improving quantum algorithms’ accuracy on noisy near-term devices. A typical QEM method, called Virtual Distillation (VD), can suffer from imperfect implementation, potentially leading to worse outcomes than ...
Xiao-Yue Xu +4 more
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This short survey article reviews progress in asymmetric (or public-key) cryptography. Knapsack methods are described along with the successful attacks by Shamir and others. The RSA method and certain generalisations are also considered.
openaire +2 more sources
Pseudorandom number generators based on neural networks: a review
Pseudorandom number generators are deterministic algorithms capable of producing sequences of numbers that appear sufficiently ”random,” and they find extensive applications across various domains such as cryptography, network security, communications ...
Xuguang Wu +6 more
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SURVEY AND PROPOSED METHOD TO DETECT ADVERSARIAL EXAMPLES USING AN ADVERSARIAL RETRAINING MODEL
Artificial intelligence (AI) has found applications across various sectors and industries, offering numerous advantages to human beings. One prominent area where AI has made significant contributions is in machine learning models.
Thanh Son Phan +3 more
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PBSFL: Privacy-Preserving and Byzantine-Resilient for Summoning Federated Learning
With the expansion of large-scale model applications, a typical division-of-labor federated learning (FL) training paradigm has emerged. This scenario is defined as Summoned Federated Learning (SFL), in which a single task initiator mobilizes cloud ...
Bowei Chen, Yan Ke, Wei Zhang, Jia Liu
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Characterisations of Ideal Threshold Schemes [PDF]
We characterise ideal threshold schemes from different approaches. Since the characteristic properties are independent to particular descriptions of threshold schemes all ideal threshold schemes can be examined by new points of view and new results on ...
Josef Pieprzyk, Xian-Mo Zhang
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