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To Compress Or Not To Compress: Understanding The Interactions Between Adversarial Attacks And Neural Network Compression.

Y. Zhao, I. Shumailov, R. Mullins, and R. Anderson. SysML, mlsys.org, (2019)

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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.

Maria Iliadou

Ilia Louban

Mimicking the cellular environment: effects of elastic nanopatterned substrates on integrin-mediated cellular interactionsI. Louban. Uni Heidelberg, (2009)

Georgios Iliadis

Nikos Ilias

Jens Ilian

Other publications of authors with the same name

Markpainting: Adversarial Machine Learning meets Inpainting.D. Khachaturov, I. Shumailov, Y. Zhao, N. Papernot, and R. Anderson. ICML, volume 139 of Proceedings of Machine Learning Research, page 5409-5419. PMLR, (2021)Turning Up the Dial: the Evolution of a Cybercrime Market Through Set-up, Stable, and Covid-19 Eras.A. Vu, J. Hughes, I. Pete, B. Collier, Y. Chua, I. Shumailov, and A. Hutchings. Internet Measurement Conference, page 551-566. ACM, (2020)Nudge Attacks on Point-Cloud DNNs.Y. Zhao, I. Shumailov, R. Mullins, and R. Anderson. CoRR, (2020)Human-Producible Adversarial Examples.D. Khachaturov, Y. Gao, I. Shumailov, R. Mullins, R. Anderson, and K. Fawaz. CoRR, (2023)Bad Characters: Imperceptible NLP Attacks.N. Boucher, I. Shumailov, R. Anderson, and N. Papernot. CoRR, (2021)Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation.F. Boenisch, A. Dziedzic, R. Schuster, A. Shamsabadi, I. Shumailov, and N. Papernot. EuroS&P, page 241-257. IEEE, (2023)Sponge Examples: Energy-Latency Attacks on Neural Networks.I. Shumailov, Y. Zhao, D. Bates, N. Papernot, R. Mullins, and R. Anderson. EuroS&P, page 212-231. IEEE, (2021)Revisiting Automated Prompting: Are We Actually Doing Better?Y. Zhou, Y. Zhao, I. Shumailov, R. Mullins, and Y. Gal. ACL (2), page 1822-1832. Association for Computational Linguistics, (2023)Locking Machine Learning Models into Hardware.E. Clifford, A. Saravanan, H. Langford, C. Zhang, Y. Zhao, R. Mullins, I. Shumailov, and J. Hayes. CoRR, (2024)Efficient Adversarial Training With Data Pruning.M. Kaufmann, Y. Zhao, I. Shumailov, R. Mullins, and N. Papernot. CoRR, (2022)

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Disambiguation of "Shumailov, Ilia"

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URL
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To Compress Or Not To Compress: Understanding The Interactions Between Adversarial Attacks And Neural Network Compression.

Please choose a person to relate this publication to

Maria Iliadou

Ilia Louban

Georgios Iliadis

Nikos Ilias

Jens Ilian

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shumailov, Ilia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML To Compress Or Not To Compress: Understanding The Interactions Between Adversarial Attacks And Neural Network Compression.

Please choose a person to relate this publication to

Maria Iliadou

Ilia Louban

Georgios Iliadis

Nikos Ilias

Jens Ilian

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

To Compress Or Not To Compress: Understanding The Interactions Between Adversarial Attacks And Neural Network Compression.