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

A \FRAMEWORK\ \FOR\ \ROBUSTNESS\ \CERTIFICATION\ ØF\ \SMOOTHED\ \CLASSIFIERS\ \USING\ F-\DIVERGENCES\

K. Dvijotham, J. Hayes, B. Balle, Z. Kolter, C. Qin, A. Gyorgy, K. Xiao, S. Gowal, and P. Kohli. International Conference on Learning Representations, (2020)

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.

Jamie O'Sullivan

Molecular cooling and emissions in large scale simulations of protostellar jetsJ. O'Sullivan. Uni Heidelberg, (2009)

Kyle Jamieson

Jamie Furness

Jamie Garside

Jamie Hillman

Other publications of authors with the same name

Towards transformation-resilient provenance detection of digital media.J. Hayes, K. Dvijotham, Y. Chen, S. Dieleman, P. Kohli, and N. Casagrande. CoRR, (2020)Tight Auditing of Differentially Private Machine Learning.M. Nasr, J. Hayes, T. Steinke, B. Balle, F. Tramèr, M. Jagielski, N. Carlini, and A. Terzis. USENIX Security Symposium, page 1631-1648. USENIX Association, (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)Generating steganographic images via adversarial training.J. Hayes, and G. Danezis. NIPS, page 1954-1963. (2017)k-fingerprinting: A Robust Scalable Website Fingerprinting Technique.J. Hayes, and G. Danezis. USENIX Security Symposium, page 1187-1203. USENIX Association, (2016)Extracting Training Data from Diffusion Models.N. Carlini, J. Hayes, M. Nasr, M. Jagielski, V. Sehwag, F. Tramèr, B. Balle, D. Ippolito, and E. Wallace. USENIX Security Symposium, page 5253-5270. USENIX Association, (2023)Learning Universal Adversarial Perturbations with Generative Models.J. Hayes, and G. Danezis. IEEE Symposium on Security and Privacy Workshops, page 43-49. IEEE Computer Society, (2018)Machine Learning as an Adversarial Service: Learning Black-Box Adversarial Examples.J. Hayes, and G. Danezis. CoRR, (2017)Beyond Slow Signs in High-fidelity Model Extraction.H. Foerster, R. Mullins, I. Shumailov, and J. Hayes. CoRR, (2024)Bounding Training Data Reconstruction in DP-SGD.J. Hayes, S. Mahloujifar, and B. Balle. CoRR, (2023)

BibSonomy

Disambiguation of "Hayes, Jamie"

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

A \FRAMEWORK\ \FOR\ \ROBUSTNESS\ \CERTIFICATION\ ØF\ \SMOOTHED\ \CLASSIFIERS\ \USING\ F-\DIVERGENCES\

Please choose a person to relate this publication to

Jamie O'Sullivan

Kyle Jamieson

Jamie Furness

Jamie Garside

Jamie Hillman

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hayes, Jamie"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A \FRAMEWORK\ \FOR\ \ROBUSTNESS\ \CERTIFICATION\ ØF\ \SMOOTHED\ \CLASSIFIERS\ \USING\ F-\DIVERGENCES\

Please choose a person to relate this publication to

Jamie O'Sullivan

Kyle Jamieson

Jamie Furness

Jamie Garside

Jamie Hillman

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

A \FRAMEWORK\ \FOR\ \ROBUSTNESS\ \CERTIFICATION\ ØF\ \SMOOTHED\ \CLASSIFIERS\ \USING\ F-\DIVERGENCES\