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Jun Zhu

Professor of Computer Science, Tsinghua University

Verificeret mail på mail.tsinghua.edu.cn

Citeret af 40888

Machine Learning Bayesian Methods Deep Generative Models Adversarial Robustness Reinforcement Learning

Sijia Liu

Michigan State University & MIT-IBM Watson AI Lab

Verificeret mail på msu.edu

Citeret af 10461

Adversarial Robustness AI Safety Generative AI Scalable Machine Learning Black-box Optimization

Himabindu Lakkaraju

Assistant Professor, Harvard University

Verificeret mail på seas.harvard.edu

Citeret af 9994

Explainable & Fair ML Adversarial Robustness Human Centric ML ML for Healthcare & Law

Adil Mehmood Khan

Professor, University of Hull, AIDecisions, Innopolis University

Verificeret mail på hull.ac.uk

Citeret af 8243

Artificial Intelligence Machine Learning Adversarial Robustness Domain Adaptation Explainability

Felix Juefei-Xu

Research Scientist, GenAI at Meta

Verificeret mail på cmu.edu

Citeret af 7974

Generative Models Deep Learning Computer Vision AI Safety Adversarial Robustness

Sven Gowal

DeepMind

Verificeret mail på deepmind.com

Citeret af 6861

Adversarial robustness Machine learning

Guo, Qing (郭青)

Investigator, CFAR, A*STAR, and Adjunct Assistant Professor at NUS

Verificeret mail på ieee.org

Citeret af 6077

Computer Vision AI Security Adversarial Attack Adversarial Robustness

Timothy A Mann

Meta

Verificeret mail på fb.com

Citeret af 4681

Reinforcement Learning Transfer Learning Representation Learning Online Advertising Adversarial Robustness

Xiaorui Liu

Assistant Professor of Computer Science, North Carolina State University

Verificeret mail på ncsu.edu

Citeret af 3818

large-scale ML trustworthy AI graph neural networks adversarial robustness optimization

Zifan Wang

ScaleAI

Verificeret mail på scale.com

Citeret af 3418

Machine Learning Adversarial Robustness AI Safety

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