Tejas Gokhale

Tejas Gokhale

Assistant Professor, University of Maryland Baltimore County
在 asu.edu 的电子邮件经过验证
被引用次数：734
Semantic Vision Data Augmentation Vision and Language Adversarial Training
Jianmin Guo

Jianmin Guo

Tsinghua University
在 tsinghua.org.cn 的电子邮件经过验证
被引用次数：606
software testing deep learning systems adversarial training
Ugo Tanielian

Ugo Tanielian

UPMC - Criteo
在 criteo.com 的电子邮件经过验证
被引用次数：306
GANs adversarial training robustness
VSR Veeravasarapu

VSR Veeravasarapu

在 fias.uni-frankfurt.de 的电子邮件经过验证
被引用次数：305
Computer Vision Machine learning Probabilistic Graphical Models Bayesian Inference Adversarial Training
Mike Lam

Mike Lam

Docusign Inc
在 docusign.com 的电子邮件经过验证
被引用次数：187
Natural Language Processing LLM Text Summarization Adversarial Training
Tapsya Nayak

Tapsya Nayak

University of Texas Health Science Center at San Antonio
在 uthscsa.edu 的电子邮件经过验证
被引用次数：154
Machine Learning Deep Learning Adversarial Attacks Adversarial Training Brain Computer Interface
Matan Levi

Matan Levi

Research scientist, IBM Research | Ben gurion university
在 post.bgu.ac.il 的电子邮件经过验证
被引用次数：131
Machine learning Deep learning Cyber Security Adversarial Training Robustness
Aditya Lahiri

Aditya Lahiri

University of California, San Diego
在 ucsd.edu 的电子邮件经过验证
被引用次数：49
Model Explainability Tree ensembles Adversarial Training Active Learning
feng guangdong

feng guangdong

河北工业大学
在 stu.hebut.edu.cn 的电子邮件经过验证
被引用次数：43
Graph neural networks self-supervised learning adversarial training metric learning
Yan Xin

Yan Xin

Tsinghua University
在 mails.tsinghua.edu.cn 的电子邮件经过验证
被引用次数：39
Computer Vision Adversarial Training
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