Titlebook: Security and Privacy in Social Networks and Big Data; 9th International Sy Budi Arief,Anna Monreale,Shujun Li Conference proceedings 2023 T

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The Impact of?Synthetic Data on?Membership Inference Attacks data to train the models. Membership inference attacks are one such issue that has been identified as a major privacy threat against machine learning models. Several techniques including applying differential privacy have been advocated to mitigate the effectiveness of inference attacks, however, t

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充滿(mǎn)裝飾

Secure and?Efficient Data Processing for?Cloud Computing with?Fine-Grained Access Controllly trustworthy, for the purpose of privacy preserving, the users need to encrypt their data before uploading it to the cloud. However, this also brings challenges in utilizing the data. Generally speaking, several desirable properties should be achieved for data processing on the cloud platform. Fi

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Detection of?Privacy-Harming Social Media Posts in?Italian multimedia posts, thus exposing themselves and other persons to several security risks. Consequently, many researchers have addressed this problem by investigating on the detection and analysis of the so-called self-disclosure behavior in social media and blogging platforms. Among the others, conte

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0302-9743 2023, which took place in Canterbury, UK, in August 2023..The 10 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: information abuse and political discourse; attacks; social structure

Graduated

Conference proceedings 2023ity; and security and privacy matters..Papers "Data Reconstruction Attack Against Principal Component Analysis" and "Edge local Differential Privacy for Dynamic Graphs" are published Open Access under the CC BY 4.0 License..