Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks.

D. Usynin, D. Rueckert, and G. Kaissis. ACM Trans. Priv. Secur., 26 (3): 38:1-38:30 (August 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dmitrii Guschin

Dmitrii Kuvaiskii

Dmitrii Legatiuk

Dmitrii Ostrovskii

Other publications of authors with the same name

Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.D. Usynin, A. Ziller, M. Makowski, R. Braren, D. Rueckert, B. Glocker, G. Kaissis, and J. Passerat-Palmbach. Nat. Mach. Intell., 3 (9): 749-758 (2021)Membership Inference Attacks Against Semantic Segmentation Models.T. Chobola, D. Usynin, and G. Kaissis. AISec@CCS, page 43-53. ACM, (2023)Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks.D. Usynin, D. Rueckert, and G. Kaissis. ACM Trans. Priv. Secur., 26 (3): 38:1-38:30 (August 2023)Naturally Private Recommendations with Determinantal Point Processes.J. Fitzsimons, A. Pasqualini, R. Pisarczyk, and D. Usynin. CoRR, (2024)Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index.G. Kaissis, M. Knolle, F. Jungmann, A. Ziller, D. Usynin, and D. Rueckert. J. Priv. Confidentiality, (2022)Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training.D. Usynin, D. Rueckert, and G. Kaissis. EICC, page 179-185. ACM, (2024)Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models.O. Ma, J. Passerat-Palmbach, and D. Usynin. CoRR, (2024)Privacy-preserving medical image analysis.A. Ziller, J. Passerat-Palmbach, T. Ryffel, D. Usynin, A. Trask, I. Junior, J. Mancuso, M. Makowski, D. Rueckert, R. Braren and 1 other author(s). CoRR, (2020)Mitigating Backdoor Attacks using Activation-Guided Model Editing.F. Hsieh, H. Nguyen, A. MaungMaung, D. Usynin, and I. Echizen. CoRR, (2024)Can Collaborative Learning Be Private, Robust and Scalable?D. Usynin, H. Klause, J. Paetzold, D. Rueckert, and G. Kaissis. DeCaF/FAIR@MICCAI, volume 13573 of Lecture Notes in Computer Science, page 37-46. Springer, (2022)

BibSonomy

Disambiguation of "Usynin, Dmitrii"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks.

Please choose a person to relate this publication to

Dmitrii Guschin

Dmitrii Kuvaiskii

Dmitrii Legatiuk

Dmitrii Ostrovskii

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Usynin, Dmitrii"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks.

Please choose a person to relate this publication to

Dmitrii Guschin

Dmitrii Kuvaiskii

Dmitrii Legatiuk

Dmitrii Ostrovskii

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks.