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07/04/2023
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data
Synthetic data is emerging as the most promising solution to share indiv...
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06/20/2023
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition
End-to-end encryption (E2EE) provides strong technical protections to in...
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06/17/2023
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing
Synthetic data is seen as the most promising solution to share individua...
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06/08/2023
Re-aligning Shadow Models can Improve White-box Membership Inference Attacks
Machine learning models have been shown to leak sensitive information ab...
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04/14/2023
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
Behavioral data generated by users' devices, ranging from emoji use to p...
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11/25/2022
M^2M: A general method to perform various data analysis tasks from a differentially private sketch
Differential privacy is the standard privacy definition for performing a...
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11/09/2022
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems
Although query-based systems (QBS) have become one of the main solutions...
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12/16/2021
Dataset correlation inference attacks against machine learning models
Machine learning models are increasingly used by businesses and organiza...
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06/17/2021
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning
End-to-end encryption (E2EE) by messaging platforms enable people to sec...
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07/02/2018
Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey
The Data for Refugees (D4R) Challenge is a non-profit challenge initiate...
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04/18/2018
When the signal is in the noise: The limits of Diffix's sticky noise
Finding a balance between privacy and utility, allowing researchers and ...
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03/23/2018