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Dmitrii Usynin

Mitigating Backdoor Attacks using Activation-Guided Model Editing

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Jul 10, 2024
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Naturally Private Recommendations with Determinantal Point Processes

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May 22, 2024
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SoK: Memorisation in machine learning

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Nov 06, 2023
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Leveraging gradient-derived metrics for data selection and valuation in differentially private training

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May 05, 2023
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How Do Input Attributes Impact the Privacy Loss in Differential Privacy?

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Nov 18, 2022
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Can collaborative learning be private, robust and scalable?

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May 05, 2022
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SoK: Differential Privacy on Graph-Structured Data

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Mar 17, 2022
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Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks

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Mar 01, 2022
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Differentially Private Graph Classification with GNNs

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Feb 08, 2022
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Distributed Machine Learning and the Semblance of Trust

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Dec 21, 2021
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