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Adversarial Robustness in Machine Learning Research Faculty | GradNova

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Adversarial Robustness in Machine Learning

Adversarial Robustness in Machine Learning

102 faculty research Adversarial Robustness in Machine Learning on GradNova.

Y

Assistant Professor

Computer Science

University of Texas at Dallas

Adversarial Robustness in Machine Learning

Artificial Intelligence in Healthcare and Education

Explainable Artificial Intelligence (xai)

Geophysical Methods and Applications

+1

A

Postdoctoral Research Fellow

Computer Science

The University of Texas at Austin

Machine Learning

Reinforcement Learning in Robotics

Domain Adaptation and Few-Shot Learning

Adversarial Robustness in Machine Learning

H

Professor and Associate Chair for PhD Studies and Research

Computer Science

Stevens Institute of Technology

Advanced Graph Neural Networks

Adversarial Robustness in Machine Learning

Cryptography and Data Security

Privacy, Security, and Data Protection

+1

C

Mizuki Asano and Thomas McGrath Professor

Computer Science

Stanford University

Adversarial Robustness in Machine Learning

Formal Methods in Verification

Logic, Programming, and Type Systems

Logic, Reasoning, and Knowledge

+1

A

Abdur Rahman Bin Shahid

Assistant Professor

Computer Science

Southern Illinois University Carbondale

Adversarial Robustness in Machine Learning

Anomaly Detection Techniques and Applications

Blockchain Technology Applications and Security

Privacy, Security, and Data Protection

+1

L

Assistant Professor

Computer Science

Simon Fraser University

Adversarial Robustness in Machine Learning

Anomaly Detection Techniques and Applications

Reinforcement Learning in Robotics

Software Testing and Debugging Techniques

+1

R

Lecturer

Computer Science

Princeton University

Human-Computer Interaction

Machine Learning

Vision & Graphics

Explainable Artificial Intelligence (xai)

+4

X

Professor

Computer Science

Portland State University

Adversarial Robustness in Machine Learning

Autonomous Vehicle Technology and Safety

Hydrology and Drought Analysis

Hydrology and Watershed Management Studies

+1

G

Professor

Computer Science and Engineering

Pennsylvania State University

Adversarial Robustness in Machine Learning

Caching and Content Delivery

Cloud Computing and Resource Management

Network Security and Intrusion Detection

+1

S

Sandhya Saisubramanian

Assistant Professor

Electrical Engineering and Computer Science

Oregon State University

Artificial Intelligence and Robotics

Data Science and Engineering

Reinforcement Learning in Robotics

AI-Based Problem Solving and Planning

+3

S

Assistant Professor

Computer Science

Oakland University

Advanced Memory and Neural Computing

Adversarial Robustness in Machine Learning

Anomaly Detection Techniques and Applications

Ferroelectric and Negative Capacitance Devices

+1

X

Assistant Professor, Computer Science

Computer Science

Michigan Technological University

Computer Security

Machine Learning

Privacy-Preserving Technologies in Data

Cryptography and Data Security

+3

X

Adjunct Professor

Computer Science

McGill University

Machine Learning

Programming Language Theory

Software Engineering

Software Testing and Debugging Techniques

+4

P

Pascale Gourdeau

Computer Science

McGill University

Learning Theory

Trustworthy Machine Learning

Machine Learning and Algorithms

Domain Adaptation and Few-Shot Learning

+3

X

Assistant Professor

Computer Science

Louisiana State University

Autonomous Vehicles

Embedded Systems

+7

S

Assistant Professor

Computer Science

Louisiana State University

Abuse Detection on Social Media

Adversarial Robustness in Machine Learning

Computer Security

Explainable AI for Security

+7

E

Assistant Professor

Computer Science

Johns Hopkins University

Machine Learning

Gaussian Processes and Bayesian Inference

Generative Adversarial Networks and Image Synthesis

+2

S

Stephanie Milani

Incoming Assistant Professor

Computer Science

Johns Hopkins University

Human-Computer Interaction

Interactive Machine Learning

Machine Learning

Reinforcement Learning

+5

Y

Technical Director of the JHU Information Security Institute and Associate Professor

Computer Science

Johns Hopkins University

Security and Privacy of Machine Learning

Web, Mobile, and Payment Systems Security

Advanced Malware Detection Techniques

Security and Verification in Computing

+3

A

Teaching Professor

Computer Science

Iowa State University

Adversarial Robustness in Machine Learning

Electoral Systems and Political Participation

Explainable Artificial Intelligence (xai)

Social Media and Politics

+1

M

Assistant Professor

Computer Science

Iowa State University

Adversarial Robustness in Machine Learning

Domain Adaptation and Few-Shot Learning

Explainable Artificial Intelligence (xai)

Machine Learning in Healthcare

+1

S

Assistant Professor

College of Computing

Georgia Institute of Technology

Advanced Bandit Algorithms Research

Adversarial Robustness in Machine Learning

Auction Theory and Applications

Complexity and Algorithms in Graphs

+1

D

Duen Horng (Polo) Chau

Professor

College of Computing

Georgia Institute of Technology

Adversarial Robustness in Machine Learning

Anomaly Detection Techniques and Applications

Complex Network Analysis Techniques

Data Visualization and Analytics

+1

S

Sarah Adel Bargal

Assistant Professor and Provost’s Distinguished Faculty Fellow

Computer Science

Georgetown University

Computer Vision

Machine Learning

Advanced Neural Network Applications

Adversarial Robustness in Machine Learning

+3