Leakage Models and Inference Attacks on Searchable Encryption for Cyber-Physical Social Systems
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DOI: 10.1109/access.2018.2800684
Abstract: Searchable encryption (SE) schemes, such as those deployed for cyber-physical social systems, may be vulnerable to inference attacks. In such attacks, attackers seek to learn sensitive information about the queries and data stored on the… read more here.
Keywords: social systems; leakage; inference attacks; cyber physical ... See more keywords
Private Data Inference Attacks against Cloud: Model, Technologies, and Research Directions
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DOI: 10.1109/mcom.004.2100867
Abstract: Machine learning models are established with a variety of data collected from individual users who are concerned about their privacy. Various cloud service providers (e.g., Amazon, Google, Alibaba) commercialize their models by selling them or… read more here.
Keywords: training data; inference attacks; private data; data inference ... See more keywords
Inference Attacks and Controls on Genotypes and Phenotypes for Individual Genomic Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2018.2810180
Abstract: The rapid growth of DNA-sequencing technologies motivates more personalized and predictive genetic-oriented services, which further attract individuals to increasingly release their genome information to learn about personalized medicines, disease predispositions, genetic compatibilities, etc. Individual genome… read more here.
Keywords: inference; genotypes phenotypes; inference attacks; attacks controls ... See more keywords
Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models
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DOI: 10.1109/tdsc.2022.3154029
Abstract: Recent research has discovered that deep learning models are vulnerable to membership inference attacks, which can reveal whether a sample is in the training dataset of the victim model or not. Most membership inference attacks… read more here.
Keywords: membership inference; inference attacks; segmentation models;
Membership Inference Attacks Against Machine Learning Models via Prediction Sensitivity
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DOI: 10.1109/tdsc.2022.3180828
Abstract: Machine learning (ML) has achieved huge success in recent years, but is also vulnerable to various attacks. In this article, we concentrate on membership inference attacks and propose Aster, which merely requires the target model's… read more here.
Keywords: training data; inference attacks; prediction; model ... See more keywords
A Randomized Filtering Strategy Against Inference Attacks on Active Steering Control Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2021.3130439
Abstract: In this paper, we develop a framework against inference attacks aimed at inferring the values of the controller gains of an active steering control system (ASCS). We first show that an adversary with access to… read more here.
Keywords: inference attacks; controller gains; control; output ... See more keywords