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

Toward Metrics for Differentiating Out-of-Distribution Sets.

M. Abbasi, C. Shui, A. Rajabi, C. Gagné, and R. Bobba. CoRR, (2019)

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.

Zahra Rajabi

Arezoo Ghaneie

Arezoo Dianat

Mahmoud Rajabi

Atefeh Rajabi

Other publications of authors with the same name

Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection.M. Abbasi, A. Rajabi, A. Mozafari, R. Bobba, and C. Gagné. CoRR, (2018)LDL: A Defense for Label-Based Membership Inference Attacks.A. Rajabi, D. Sahabandu, L. Niu, B. Ramasubramanian, and R. Poovendran. AsiaCCS, page 95-108. ACM, (2023)Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning.A. Rajabi, M. Abbasi, C. Gagné, and R. Bobba. CoRR, (2018)The Trojan Detection Challenge.M. Mazeika, D. Hendrycks, H. Li, X. Xu, S. Hough, A. Zou, A. Rajabi, Q. Yao, Z. Wang, J. Tian and 9 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 279-291. PMLR, (2021)Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks.M. Abbasi, A. Rajabi, C. Gagné, and R. Bobba. Canadian AI, volume 12109 of Lecture Notes in Computer Science, page 1-14. Springer, (2020)Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning.A. Rajabi, B. Ramasubramanian, and R. Poovendran. CoRR, (2022)MDTD: A Multi Domain Trojan Detector for Deep Neural Networks.A. Rajabi, S. Asokraj, F. Jiang, L. Niu, B. Ramasubramanian, J. Ritcey, and R. Poovendran. CoRR, (2023)Adversarial Images Against Super-Resolution Convolutional Neural Networks for Free.A. Rajabi, M. Abbasi, R. Bobba, and K. Tajik. Proc. Priv. Enhancing Technol., 2022 (3): 120-139 (2022)DANI: A Fast Diffusion Aware Network Inference Algorithm.M. Ramezani, H. Rabiee, M. Tahani, and A. Rajabi. CoRR, (2017)Toward Metrics for Differentiating Out-of-Distribution Sets.M. Abbasi, C. Shui, A. Rajabi, C. Gagné, and R. Bobba. ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 929-936. IOS Press, (2020)

BibSonomy

Disambiguation of "Rajabi, Arezoo"

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

Toward Metrics for Differentiating Out-of-Distribution Sets.

Please choose a person to relate this publication to

Zahra Rajabi

Arezoo Ghaneie

Arezoo Dianat

Mahmoud Rajabi

Atefeh Rajabi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rajabi, Arezoo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Toward Metrics for Differentiating Out-of-Distribution Sets.

Please choose a person to relate this publication to

Zahra Rajabi

Arezoo Ghaneie

Arezoo Dianat

Mahmoud Rajabi

Atefeh Rajabi

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

Toward Metrics for Differentiating Out-of-Distribution Sets.