Titlebook: Information Security Practice and Experience; 16th International C Robert Deng,Feng Bao,Ding Wang Conference proceedings 2021 Springer Natu

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,Enhanced Mixup Training: a?Defense Method Against Membership Inference Attack,c-based inference methods to infer whether a particular data sample is in the training dataset of the target model. While several defenses have been proposed to mitigate privacy risks, they still suffer from some limitations: 1) Current defenses are limited to defend model-based attack and are still

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EPFSTO-ARIMA: Electric Power Forced Stochastic Optimization Predicting Based on ARIMA, especially for enterprise survival. Data poisoning attack is a typical attack faced by data sharing, EPSTO-ARIMA (Electric Power Stochastic Optimization Predicting Based on Autoregressive Integrated Moving Average model) would increase prediction error by generating adversarial shared data, which l

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,Message-Restriction-Free Commitment Scheme Based on?Lattice Assumption,t years, lattice-based cryptography has been intensively studied owing to its potential to be promising post-quantum cryptography. Therefore, the commitment schemes based on lattice assumption have been studied for practical applications. Typically, many applications require to commit arbitrary vect

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OblivShare: Towards Privacy-Preserving File Sharing with Oblivious Expiration Control,emand that their data is secure during the entire life cycle, and not residing in clouds indefinitely. A trending feature in industry is to set download constraints of shared files - a file can be downloaded for a restricted number of times and/or within a limited time framework. Metadata privacy be

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