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We introduce a new family of quantum secret sharing protocols with limited quantum resources which extends the protocols proposed by Markham and Sanders and by Broadbent, Chouha, and Tapp. Parametrized by a graph G and a subset of its…

Quantum Physics · Physics 2016-10-11 Jérôme Javelle , Mehdi Mhalla , Simon Perdrix

A signed graph is a graph where each edge receives a sign, positive or negative. The signed graph model has been used in many real applications, such as protein complex discovery and social network analysis. Finding cohesive subgraphs in…

Databases · Computer Science 2024-06-25 Lantian Xu , Rong-Hua Li , Dong Wen , Qiangqiang Dai , Guoren Wang , Lu Qin

The advent of quantum computation compels the cryptographic community to design digital signature schemes whose security extends beyond the classical hardness assumptions. In this work, we introduce Spinel, a post-quantum digital signature…

Cryptography and Security · Computer Science 2026-02-12 Asmaa Cherkaoui , Faraz Heravi , Delaram Kahrobaei , Siamak F. Shahandashti

We study the problem of online graph coloring for $k$-colorable graphs. The best previously known deterministic algorithm uses $\widetilde{O}(n^{1-\frac{1}{k!}})$ colors for general $k$ and $\widetilde{O}(n^{5/6})$ colors for $k = 4$, both…

Data Structures and Algorithms · Computer Science 2026-04-06 Ken-ichi Kawarabayashi , Hirotaka Yoneda , Masataka Yoneda

In the rapidly evolving domain of financial technology, the detection of illicit transactions within blockchain networks remains a critical challenge, necessitating robust and innovative solutions. This work proposes a novel approach by…

Strongly unforgeable signature schemes provide a more stringent security guarantee than the standard existential unforgeability. It requires that not only forging a signature on a new message is hard, it is infeasible as well to produce a…

Quantum Physics · Physics 2015-09-11 Edward Eaton , Fang Song

Quantum Machine Learning (QML) integrates quantum computational principles into learning algorithms, offering improved representational capacity and computational efficiency. However, the security and robustness of QML systems remain…

Cryptography and Security · Computer Science 2026-05-25 Saeefa Rubaiyet Nowmi , Jesus Lopez , Md Mahmudul Alam Imon , Shahrooz Pouryousef , Mohammad Saidur Rahman

A $K_r$-factor of a graph $G$ is a collection of vertex-disjoint $r$-cliques covering $V(G)$. We prove the following algorithmic version of the classical Hajnal--Szemer\'edi Theorem in graph theory, when $r$ is considered as a constant.…

Combinatorics · Mathematics 2026-03-02 Luyining Gan , Jie Han , Jie Hu

Node embedding is a key technique for representing graph nodes as vectors while preserving structural and relational properties, which enables machine learning tasks like feature extraction, clustering, and classification. While classical…

Quantum Physics · Physics 2025-03-11 Hristo N. Djidjev

Given two elliptic curves over a finite field having the same cardinality and endomorphism ring, it is known that the curves admit an isogeny between them, but finding such an isogeny is believed to be computationally difficult. The fastest…

Quantum Physics · Physics 2018-04-17 Andrew M. Childs , David Jao , Vladimir Soukharev

The problem of finding the degeneracy of a graph is a subproblem of the k-core decomposition problem. In this paper, we present a (1 + epsilon)-approximate solution to the degeneracy problem which runs in O(n log n) time, sublinear in the…

Data Structures and Algorithms · Computer Science 2022-11-16 Valerie King , Alex Thomo , Quinton Yong

Since the security of post-quantum cryptography (PQC) algorithms is based on the hardness of mathematical problems, while the security of quantum key distribution (QKD) relies on the fundamental principles of quantum physics, each approach…

Cryptography and Security · Computer Science 2025-10-06 Abel C. H. Chen

Federated learning (FL) has become one of the standard approaches for deploying machine learning models on edge devices, where private training data are distributed across clients, and a shared model is learned by aggregating locally…

Quantum Physics · Physics 2025-02-04 Pingzhi Li , Tianlong Chen , Junyu Liu

Hybrid Quantum Neural Networks (HQNNs) represent a promising advancement in Quantum Machine Learning (QML), yet their security has been rarely explored. In this paper, we present the first systematic study of backdoor attacks on HQNNs. We…

Cryptography and Security · Computer Science 2024-07-24 Ji Guo , Wenbo Jiang , Rui Zhang , Wenshu Fan , Jiachen Li , Guoming Lu

We propose a general architecture that combines the coefficient learning scheme with a residual operator layer for learning mappings between continuous functions in the 3D Euclidean space. Our proposed model is guaranteed to achieve…

Machine Learning · Computer Science 2023-11-21 Chaoran Cheng , Jian Peng

In spite of the extensive studies of the 3-coloring problem with respect to several basic parameters, the complexity status of the 3-coloring problem on graphs with small diameter, i.e. with diameter 2 or 3, has been a longstanding and…

Data Structures and Algorithms · Computer Science 2012-10-18 George B. Mertzios , Paul G. Spirakis

Signed graphs are well-suited for modeling social networks as they capture both positive and negative relationships. Signed graph neural networks (SGNNs) are commonly employed to predict link signs (i.e., positive and negative) in such…

Cryptography and Security · Computer Science 2024-05-14 Jialong Zhou , Yuni Lai , Jian Ren , Kai Zhou

We obtain the following new coloring results: * A 3-colorable graph on $n$ vertices with maximum degree~$\Delta$ can be colored, in polynomial time, using $O((\Delta \log\Delta)^{1/3} \cdot\log{n})$ colors. This slightly improves an…

Data Structures and Algorithms · Computer Science 2016-08-31 Eran Halperin , Ram Nathaniel , Uri Zwick

We revisit a well-known family of polynomial ideals encoding the problem of graph-$k$-colorability. Our paper describes how the inherent combinatorial structure of the ideals implies several interesting algebraic properties. Specifically,…

Symbolic Computation · Computer Science 2014-10-28 Jesús A. De Loera , Susan Margulies , Michael Pernpeintner , Eric Riedl , David Rolnick , Gwen Spencer , Despina Stasi , Jon Swenson

In this paper, we present a simple bare-bones solution of a Zero-Knowledge authentication protocol which uses non-commutative algebra and a variation of the generalized symmetric decomposition problem (GSDP) as a one-way function. The…

Cryptography and Security · Computer Science 2017-03-28 Pedro Hecht
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