Jun Zhu

Jun Zhu

Professor of Computer Science, Tsinghua University
在 mail.tsinghua.edu.cn 的电子邮件经过验证
被引用次数：32075
Machine Learning Bayesian Methods Deep Generative Models Adversarial Robustness Reinforcement Learning
Himabindu Lakkaraju

Himabindu Lakkaraju

Assistant Professor, Harvard University
在 seas.harvard.edu 的电子邮件经过验证
被引用次数：8235
Explainable & Fair ML Adversarial Robustness Human Centric ML ML for Healthcare & Law
Felix Juefei-Xu

Felix Juefei-Xu

Research Scientist, GenAI at Meta
在 cmu.edu 的电子邮件经过验证
被引用次数：6824
Deep Learning Computer Vision Generative Models Adversarial Robustness AI Safety
Adil Mehmood Khan

Adil Mehmood Khan

Professor, University of Hull, AIDecisions, Innopolis University
在 hull.ac.uk 的电子邮件经过验证
被引用次数：6760
Artificial Intelligence Machine Learning Adversarial Robustness Domain Adaptation Explainability
Sven Gowal

Sven Gowal

DeepMind
在 deepmind.com 的电子邮件经过验证
被引用次数：5524
Adversarial robustness Machine learning
Guo, Qing (郭青)

Guo, Qing (郭青)

Investigator, CFAR, A*STAR, and Adjunct Assistant Professor at NUS
在 ieee.org 的电子邮件经过验证
被引用次数：4986
Computer Vision AI Security Adversarial Attack Adversarial Robustness Object Tracking
Timothy A Mann

Timothy A Mann

Meta
在 fb.com 的电子邮件经过验证
被引用次数：4085
Reinforcement Learning Transfer Learning Representation Learning Online Advertising Adversarial Robustness
Xiaorui Liu

Xiaorui Liu

Assistant Professor of Computer Science, North Carolina State University
在 ncsu.edu 的电子邮件经过验证
被引用次数：3028
large-scale ML trustworthy AI graph neural networks adversarial robustness optimization
Shiqi Wang

Shiqi Wang

Applied Scientist, Amazon AWS AI Lab
在 cs.columbia.edu 的电子邮件经过验证
被引用次数：2865
Machine Learning Large Language Model Adversarial Robustness Trustworthy AI ML Security
Jianbo Chen

Jianbo Chen

UC Berkeley
在 berkeley.edu 的电子邮件经过验证
被引用次数：2442
model interpretation adversarial robustness
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