Label-Only Membership Inference Attack Based on Model Explanation
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DOI: 10.1007/s11063-024-11682-1
Abstract: It is well known that machine learning models (e.g., image recognition) can unintentionally leak information about the training set. Conventional membership inference relies on posterior vectors, and this task becomes extremely difficult when the posterior… read more here.
Keywords: membership inference; inference; label membership; inference attack ... See more keywords
A Statistical Inference Attack on Privacy-Preserving Biometric Identification Scheme
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DOI: 10.1109/access.2021.3063693
Abstract: Biometric identification allows people to be identified by their unique physical characteristics. Among such schemes, fingerprinting is well-known for biometric identification. Many studies related to fingerprint-based biometric identification have been proposed; however, they are based… read more here.
Keywords: statistical inference; biometric identification; scheme; identification ... See more keywords
Practical Feature Inference Attack in Vertical Federated Learning During Prediction in Artificial Internet of Things
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DOI: 10.1109/jiot.2023.3275161
Abstract: The emergence of edge computing guarantees the combination of the Internet of Things (IoT) and artificial intelligence (AI). The vertical federated learning (VFL) framework, usually deployed by split learning, can analyze and integrate information on… read more here.
Keywords: feature inference; inference; internet things; model ... See more keywords
Gradient-Level Differential Privacy Against Attribute Inference Attack for Speech Emotion Recognition
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DOI: 10.1109/lsp.2024.3490379
Abstract: The Federated Learning (FL) paradigm for distributed privacy preservation is valued for its ability to collaboratively train Speech Emotion Recognition (SER) models while keeping data localized. However, recent studies reveal privacy leakage in the model… read more here.
Keywords: speech emotion; emotion recognition; differential privacy; privacy ... See more keywords
Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3046648
Abstract: The effectiveness of state-of-the-art deep learning (DL) models has empowered the development of industrial Internet of things (IIoT). Recently, considering resource-constrained and privacy-required IIoT devices, collaborative inference has been proposed, which splits DL models and… read more here.
Keywords: inference attack; membership inference; inference; collaborative inference ... See more keywords