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Dmitrii Usynin

End-to-end privacy preserving deep learning on multi-institutional medical imaging
2021 · Georgios Kaissis, Alexander Ziller, et al. · Nature Machine Intelligence · 506
Medical imaging deep learning with differential privacy
2021 · Alexander Ziller, Dmitrii Usynin, et al. · Scientific Reports · 173
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Adversarial interference and its mitigations in privacy-preserving collaborative machine learning
2021 · Dmitrii Usynin, Alexander Ziller, et al. · Nature Machine Intelligence · 62
Differentially Private Graph Neural Networks for Whole-Graph Classification
2022 · Tamara T. Mueller, Johannes C. Paetzold, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 45
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Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks
2023 · Dmitrii Usynin, Daniel Rueckert, et al. · ACM Transactions on Privacy and Security · 26
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Differentially private federated deep learning for multi-site medical image segmentation
2022 · Alexander Ziller, Dmitrii Usynin, et al. · Research Square · 18
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Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learning
2021 · Dmitrii Usynin, Daniel Rueckert, et al. · Proceedings on Privacy Enhancing Technologies · 8
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Membership Inference Attacks Against Semantic Segmentation Models
2023 · Tomas Chobola, Dmitrii Usynin, et al. · ACM Workshop on Artificial Intelligence and Security (AISec) · 7
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SoK: Differential Privacy on Graph-Structured Data
2022 · Mueller, Tamara T., Usynin, Dmitrii, et al. · arXiv (Cornell University) · 6
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Privacy-preserving medical image analysis
2020 · Ziller, Alexander, Passerat-Palmbach, Jonathan, et al. · arXiv (Cornell University) · 6
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Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results
2024 · Tamara T. Mueller, Dmitrii Usynin, et al. · Journal of Privacy and Confidentiality · 2
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Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index
2022 · Georgios Kaissis, Moritz Knolle, et al. · Journal of Privacy and Confidentiality · 2
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Can Collaborative Learning Be Private, Robust and Scalable?
2022 · Dmitrii Usynin, Helena Klause, et al. · Lecture notes in computer science · 2
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Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation
2021 · Ziller, Alexander, Usynin, Dmitrii, et al. · arXiv (Cornell University) · 2
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Mitigating Backdoor Attacks Using Activation-Guided Model Editing
2025 · Felix Hsieh, Huy H. Nguyen, et al. · Lecture notes in computer science · 1
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SoK: Memorisation in machine learning
2023 · Usynin, Dmitrii, Knolle, Moritz, et al. · arXiv (Cornell University) · 1
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An automatic differentiation system for the age of differential privacy
2021 · Usynin, Dmitrii, Ziller, Alexander, et al. · arXiv (Cornell University) · 1
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AI've Got a Bad Feeling About This: A Privacy Threat Modeling Framework for GenAI
2026 · Liao, Qianying, Bellemans, Jonah, et al. · Lirias
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Supplementary Materials: AI've Got a Bad Feeling About This: A Privacy Threat Modeling Framework for GenAI
2026 · Liao, Qianying, Bellemans, Jonah, et al. · Zenodo (CERN European Organization for Nuclear Research)
One stout to rule them all: Reconciling artificial intelligence, data science and malted alcoholic beverages
2026 · Usynin, Dmitrii, Shmakova, Elena, et al. · arXiv (Cornell University)
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A LINDDUN-based Privacy Threat Modeling Framework for GenAI
2026 · Liao, Qianying, Bellemans, Jonah, et al. · arXiv (Cornell University)
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PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information Leakage
2026 · Krishna Kanth Nakka, Xue Jiang, et al. · Workshop on Trustworthy NLP (TrustNLP)
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Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models
2025 · Belfiore, Asia, Passerat-Palmbach, Jonathan, et al. · arXiv (Cornell University)
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Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models
2024 · Ma, Olivia, Passerat-Palmbach, Jonathan, et al. · arXiv (Cornell University)
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Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
2024 · Dmitrii Usynin, Daniel Rueckert, et al. · European Interdisciplinary Cybersecurity Conference (EICC)
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Works count: 33
Citation count: 869
H-index: 7
I10-index: 6
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