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

Adversarially trained neural representations may already be as robust as corresponding biological neural representations.

C. Guo, M. Lee, G. Leclerc, J. Dapello, Y. Rao, A. Madry, and J. DiCarlo. CoRR, (2022)

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.

Norbert Leclerc

Margarete Leclerc

Hélène Leclerc

Matthias Leclerc

Sébastien Leclerc

Other publications of authors with the same name

Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy.A. Saligrama, and G. Leclerc. CoRR, (2020)Adversarially trained neural representations are already as robust as biological neural representations.C. Guo, M. Lee, G. Leclerc, J. Dapello, Y. Rao, A. Madry, and J. DiCarlo. ICML, volume 162 of Proceedings of Machine Learning Research, page 8072-8081. PMLR, (2022)Raising the Cost of Malicious AI-Powered Image Editing.H. Salman, A. Khaddaj, G. Leclerc, A. Ilyas, and A. Madry. ICML, volume 202 of Proceedings of Machine Learning Research, page 29894-29918. PMLR, (2023)SageDB: A Learned Database System.T. Kraska, M. Alizadeh, A. Beutel, E. Chi, A. Kristo, G. Leclerc, S. Madden, H. Mao, and V. Nathan. CIDR, www.cidrdb.org, (2019)TRAK: Attributing Model Behavior at Scale.S. Park, K. Georgiev, A. Ilyas, G. Leclerc, and A. Madry. ICML, volume 202 of Proceedings of Machine Learning Research, page 27074-27113. PMLR, (2023)Rethinking Backdoor Attacks.A. Khaddaj, G. Leclerc, A. Makelov, K. Georgiev, H. Salman, A. Ilyas, and A. Madry. ICML, volume 202 of Proceedings of Machine Learning Research, page 16216-16236. PMLR, (2023)The Seamless Peer and Cloud Evolution Framework.G. Leclerc, J. Auerbach, G. Iacca, and D. Floreano. GECCO, page 821-828. ACM, (2016)3DB: A Framework for Debugging Computer Vision Models.G. Leclerc, H. Salman, A. Ilyas, S. Vemprala, L. Engstrom, V. Vineet, K. Xiao, P. Zhang, S. Santurkar, G. Yang and 2 other author(s). CoRR, (2021)FFCV: Accelerating Training by Removing Data Bottlenecks.G. Leclerc, A. Ilyas, L. Engstrom, S. Park, H. Salman, and A. Madry. CVPR, page 12011-12020. IEEE, (2023)3DB: A Framework for Debugging Computer Vision Models.G. Leclerc, H. Salman, A. Ilyas, S. Vemprala, L. Engstrom, V. Vineet, K. Xiao, P. Zhang, S. Santurkar, G. Yang and 2 other author(s). NeurIPS, (2022)

BibSonomy

Disambiguation of "Leclerc, Guillaume"

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

Adversarially trained neural representations may already be as robust as corresponding biological neural representations.

Please choose a person to relate this publication to

Norbert Leclerc

Margarete Leclerc

Hélène Leclerc

Matthias Leclerc

Sébastien Leclerc

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Leclerc, Guillaume"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Adversarially trained neural representations may already be as robust as corresponding biological neural representations.

Please choose a person to relate this publication to

Norbert Leclerc

Margarete Leclerc

Hélène Leclerc

Matthias Leclerc

Sébastien Leclerc

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

Adversarially trained neural representations may already be as robust as corresponding biological neural representations.