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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Challenges and Beneficiations of differential privacy in transfer learning and federated learning
迁移学习 联邦学习 差分隐私
2023/4/13
Differential privacy is one of the most common techniques in privacy-preserving machine learning due to its rigorous math definition and theoretical results. Transfer learning and Federated learning a...
2018年生物医学数据保护隐私的算法挑战研讨会（Workshop on Algorithmic Challenges in Protecting Privacy for Biomedical Data）
2018年 生物医学数据保护隐私的算法挑战 研讨会
2017/12/20
Genomics and digital phenotyping (electronic medical records, imaging, self-reported surveys, etc) have the potential to transform our understanding, diagnosis and treatment of human diseases. Realizi...
PST2017, the fifteenth International Conference on Privacy, Security and Trust (PST), will be held in Calgary, Alberta, Canada. The conference will continue the tradition of bringing together researc...
2017年国际移动云安全，隐私和数字取证研讨会（The International Workshop on The Security, Privacy, and Digital Forensics of Mobile Cloud ）(SeMoCloud 2017)
2017年 国际移动云 安全 隐私 数字取证 研讨会
2017/3/27
To many people, smartphones and similar mobile devices have been an indispensable part of daily life and work. With personal financial and medical information and job related data being processed on t...
SPACE PARTITIONING FOR PRIVACY ENABLED 3D CITY MODELS
Urban Area 3D Buildings Privacy LOD Anonymization Cartographic Generalization Straight Skeleton
2016/10/14
Due to recent technological progress, data capturing and processing of highly detailed (3D) data has become extensive. And despite all prospects of potential uses, data that includes personal living s...
Noisy channel coding via privacy amplification and information reconciliation
Noisy channel coding privacy amplification information reconciliation
2011/3/3
We show that optimal protocols for noisy channel coding of public or private information over either classical or quantum channels can be directly constructed from two more primitive information-theor...
Differential Privacy versus Quantitative Information Flow
Differential Privacy Quantitative Information Flow
2011/2/23
Differential privacy is a notion of privacy that has become very popular in the database community. Roughly, the idea is that a randomized query mechanism provides sufficient privacy protection if th...
With the growing demand of databases outsourcing and its security concerns, we investigate privacy-preserving set intersection in a distributed scenario. We propose a one-round protocol for privacy-pr...
With the growing demand of databases outsourcing and its security concerns, we investigate privacy-preserving set intersection in a distributed scenario. We propose a one-round protocol for privacy-pr...
Quantum Privacy Amplification for a Sequence of Single Qubits
quantum privacy amplification quantum secure direct communication
2007/8/15
2006Vol.46No.3pp.443-446DOI:
Quantum Privacy Amplification for a Sequence of Single Qubits
DENG Fu-Guo1,2 and LONG Gui-Lu3,4
1 The Key Laboratory of Beam Technology and ...