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Inference attack

An Inference Attack is a data mining technique performed by analyzing data in order to illegitimately gain knowledge about a subject or database. A… 
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Broader (2)

Computer securityData security
Data miningInformationInformation security

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Label-Leaks: Membership Inference Attack with Label
Machine learning (ML) has made tremendous progress during the past decade and ML models have been deployed in many real-world… 
2020
2020
Image and Attribute Based Convolutional Neural Network Inference Attacks in Social Networks
In modern society, social networks play an important role for online users. However, one unignorable problem behind the booming… 
Highly Cited
2019
Highly Cited
2019
Demystifying Membership Inference Attacks in Machine Learning as a Service
Membership inference attacks seek to infer membership of individual training instances of a model to which an adversary has black… 
Highly Cited
2018
Highly Cited
2018
Inference Attacks Against Collaborative Learning
Collaborative machine learning and related techniques such as distributed and federated learning allow multiple participants… 
2017
2017
Side-Channel Inference Attacks on Mobile Keypads Using Smartwatches
Smartwatches enable many novel applications and are fast gaining popularity. However, the presence of a diverse set of on-board… 
Highly Cited
2017
Highly Cited
2017
Leakage-Abuse Attacks against Order-Revealing Encryption
Order-preserving encryption and its generalization order-revealing encryption (OPE/ORE) allow sorting, performing range queries… 
Highly Cited
2016
Highly Cited
2016
Minimax Filter: Learning to Preserve Privacy from Inference Attacks
Preserving privacy of continuous and/or high-dimensional data such as images, videos and audios, can be challenging with… 
Highly Cited
2016
Highly Cited
2016
Smartwatch-Based Keystroke Inference Attacks and Context-Aware Protection Mechanisms
Wearable devices, such as smartwatches, are furnished with state-of-the-art sensors that enable a range of context-aware… 
Highly Cited
2014
Highly Cited
2014
Peeking into Your App without Actually Seeing It: UI State Inference and Novel Android Attacks
The security of smartphone GUI frameworks remains an important yet under-scrutinized topic. In this paper, we report that on the… 
Highly Cited
2013
Highly Cited
2013
De-anonymization Attack on Geolocated Data
With the advent of GPS-equipped devices, a massive amount of location data is being collected, raising the issue of the privacy… 
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