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Data and Model Dependencies of Membership Inference Attack
Machine Learning (ML) techniques are used by most data-driven organisati...
02/17/2020 ∙ by Shakila Mahjabin Tonni, et al. ∙
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Invisible Backdoor Attacks Against Deep Neural Networks
Deep neural networks (DNNs) have been proven vulnerable to backdoor atta...
09/06/2019 ∙ by Shaofeng Li, et al. ∙
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The Audio Auditor: Participant-Level Membership Inference in Internet of Things Voice Services
Voice interfaces and assistants implemented by various services have bec...
05/17/2019 ∙ by Yuantian Miao, et al. ∙
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The Audio Auditor: Participant-Level Membership Inference in Voice-Based IoT
Voice interfaces and assistants implemented by various services have bec...
05/17/2019 ∙ by Yuantian Miao, et al. ∙
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Averaging Attacks on Bounded Perturbation Algorithms
We describe and evaluate an attack that reconstructs the histogram of an...
02/18/2019 ∙ by Hassan Jameel Asghar, et al. ∙
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Private Continual Release of Real-Valued Data Streams
We present a differentially private mechanism to display statistics (e.g...
11/08/2018 ∙ by Victor Perrier, et al. ∙
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A Geometric Approach for Real-time Monitoring of Dynamic Large Scale Graphs: AS-level graphs illustrated
The monitoring of large dynamic networks is a major chal- lenge for a wi...
06/02/2018 ∙ by Loqman Salamatian, et al. ∙
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