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Limited data access is a longstanding barrier to data-driven research and development in the networked systems community. In this work, we explore if and how generative adversarial networks (GANs) can be used to incentivize data sharing by…

机器学习 · 计算机科学 2021-01-19 Zinan Lin , Alankar Jain , Chen Wang , Giulia Fanti , Vyas Sekar

Conditional disclosure of secrets (CDS) allows multiple parties to reveal a secret to a third party if and only if some pre-decided condition is satisfied. In this work, we bolster the privacy guarantees of CDS by introducing…

密码学与安全 · 计算机科学 2021-10-11 Nolan Miranda , Foo Yee Yeo , Vipin Singh Sehrawat

In this paper we analyze the (im)possibility of the exact distinguishability of orthogonal multipartite entangled states under {\em restricted local operation and classical communication}. Based on this local distinguishability analysis we…

量子物理 · 物理学 2015-05-19 Ramij Rahaman , Matthew G. Parker

Quantum communication protocols can be designed to detect eavesdropping attacks, something that classical technologies are unable to do since classical information can be replicated in a non-destructive manner. Eavesdropping detection is,…

量子物理 · 物理学 2025-12-19 Santanu Majhi , Debajyoti Bera

Verifiable Secret-Sharing (VSS) is a fundamental primitive in secure distributed computing. It is used as a building block in several distributed computing tasks, such as Byzantine agreement and secure multi-party computation. In this…

密码学与安全 · 计算机科学 2022-02-07 Anirudh Chandramouli , Ashish Choudhury , Arpita Patra

In this work, we propose a novel framework for privacy-preserving client-distributed machine learning. It is motivated by the desire to achieve differential privacy guarantees in the local model of privacy in a way that satisfies all…

密码学与安全 · 计算机科学 2018-10-12 Vasyl Pihur , Aleksandra Korolova , Frederick Liu , Subhash Sankuratripati , Moti Yung , Dachuan Huang , Ruogu Zeng

We propose a new computationally efficient privacy-preserving identification framework based on layered sparse coding. The key idea of the proposed framework is a sparsifying transform learning with ambiguization, which consists of a…

信息论 · 计算机科学 2018-06-25 Behrooz Razeghi , Slava Voloshynovskiy , Sohrab Ferdowsi , Dimche Kostadinov

Auto-regressive frameworks for next-scale prediction of 2D images have demonstrated strong potential for producing diverse and sophisticated content by progressively refining a coarse input. However, extending this paradigm to 3D object…

计算机视觉与模式识别 · 计算机科学 2026-04-02 Quanyuan Ruan , Kewei Shi , Jiabao Lei , Xifeng Gao , Xiaoguang Han

Data is the lifeblood of the modern world, forming a fundamental part of AI, decision-making, and research advances. With increase in interest in data, governments have taken important steps towards a regulated data world, drastically…

密码学与安全 · 计算机科学 2024-06-11 Sikha Pentyala , Mayana Pereira , Martine De Cock

Traditional threshold secret sharing cannot realizing all access structures of secret sharing. So, Ito introduced the concept of Secret sharing scheme realizing general access structure. But Its scheme has to send multiple shares to each…

密码学与安全 · 计算机科学 2022-09-09 Yang Xie , Sijjad Ali Khuhro , Fuyou Miao , Keju Meng

Secret Sharing Schemes (SSS) are methods for distributing a secret among a set of participants. One of the first Secret Sharing Schemes was proposed by M. Mignotte, based on the Chinese remainder theorem over the ring of integers. In this…

密码学与安全 · 计算机科学 2021-06-24 Diego Munuera-Merayo

This paper presents a recursive hiding scheme for 2 out of 3 secret sharing. In recursive hiding of secrets, the user encodes additional information about smaller secrets in the shares of a larger secret without an expansion in the size of…

密码学与安全 · 计算机科学 2009-02-17 Abhishek Parakh , Subhash Kak

Privacy regulation laws, such as GDPR, impose transparency and security as design pillars for data processing algorithms. In this context, federated learning is one of the most influential frameworks for privacy-preserving distributed…

Secret sharing in user hierarchy represents a challenging area for research. Although a lot of work has already been done in this direc- tion, this paper presents a novel approach to share a secret among a hierarchy of users while…

密码学与安全 · 计算机科学 2010-07-15 Ruchira Naskar , Indranil Sengupta

A common approach of system identification and machine learning is to generate a model by using training data to predict the test data instances as accurate as possible. Nonetheless, concerns about data privacy are increasingly raised, but…

机器学习 · 计算机科学 2023-04-18 Jaron Skovsted Gundersen , Bulut Kuskonmaz , Rafael Wisniewski

Quantum secret sharing (QSS) schemes without entanglement have huge advantages in scalability and are easier to realize as they only require sequential communications of a single quantum system. However, these schemes often come with…

量子物理 · 物理学 2019-12-04 Changbin Lu , Fuyou Miao , Junpeng Hou , Wenchao Huang , Yan Xiong

In this paper, we propose FedGP, a framework for privacy-preserving data release in the federated learning setting. We use generative adversarial networks, generator components of which are trained by FedAvg algorithm, to draw…

机器学习 · 统计学 2019-10-21 Aleksei Triastcyn , Boi Faltings

This article introduces a novel Quantum Secret Sharing scheme with $( k, n )$ threshold and endowed with verification capability. The new protocol exploits the power of entanglement and evolves in three phases. The primary novelty of the…

量子物理 · 物理学 2025-03-14 Theodore Andronikos

Almost all known secret sharing schemes work on numbers. Such methods will have difficulty in sharing graphs since the number of graphs increases exponentially with the number of nodes. We propose a secret sharing scheme for graphs where we…

密码学与安全 · 计算机科学 2010-09-16 K. R. Sahasranand , Nithin Nagaraj

We consider the generic problem of Secure Aggregation of Distributed Information (SADI), where several agents acting as a team have information distributed among them, modeled by means of a publicly known deck of cards distributed among the…

密码学与安全 · 计算机科学 2015-04-29 David Fernández-Duque , Valentin Goranko