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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.

Q

Associate Professor, Department of Computer Science

Computer Science

George Mason University

Computer Systems Security, With a Focus on the Internet of Things and Mobile Computing

Advanced Malware Detection Techniques

Security and Verification in Computing

User Authentication and Security Systems

+2

L

Assistant Professor, Department of Computer Science

Computer Science

George Mason University

Autonomous Driving Systems

Including the Reliable Operation of Gpus

Neural Networks

Nonconventional Sensors

+6

A

Assistant Professor

Computer Science

Dartmouth College

Adversarial Robustness in Machine Learning

Cryptography and Data Security

Internet Traffic Analysis and Secure E-Voting

Network Security and Intrusion Detection

+1

...

T

Tianyun Zhang, Ph.D.

Assistant Professor

Computer Science

Cleveland State University

Convex and Non-Convex Optimization

Machine Learning

Advanced Neural Network Applications

+4

M

Assistant Professor

Computer Science

Clemson University

Advanced Malware Detection Techniques

Adversarial Robustness in Machine Learning

Anomaly Detection Techniques and Applications

Autonomous Vehicle Technology and Safety

+1

H

Assistant Professor of Information Systems & Technology

Computer Science

Claremont Graduate University

Advanced Malware Detection Techniques

Advanced Neural Network Applications

Adversarial Robustness in Machine Learning

Information and Cyber Security

+4

S

Saptarashmi Bandyopadhyay

Assistant Professor of Computer Science

Computer Science

City University of New York

Adversarial Robustness in Machine Learning

Artificial Intelligence in Games

Auction Theory and Applications

Open Source Software Innovations

+5

S

Assistant Professor, Department of Computer and Data Sciences, Case School of Engineering

Computer Science

Case Western Reserve University

Adversarial Robustness in Machine Learning

Ethics and Social Impacts of AI

Explainable Artificial Intelligence (xai)

Scientific Computing and Data Management

+1

A

Atoosa Kasirzadeh

Assistant Professor

Computer Science

Carnegie Mellon University

Adversarial Robustness in Machine Learning

Artificial Intelligence in Healthcare and Education

Ethics and Social Impacts of AI

D

Professor

Computer Science

Carnegie Mellon University

Adversarial Robustness in Machine Learning

Explainable Artificial Intelligence (xai)

Generative Adversarial Networks and Image Synthesis

M

Michael Skirpan

Assistant Teaching Professor

Computer Science

Carnegie Mellon University

Adversarial Robustness in Machine Learning

Ethics and Social Impacts of AI

ICT in Developing Communities

Innovative Human-Technology Interaction

+1

D

Associate Professor without Tenure

Computer Science

Carnegie Mellon University

Adversarial Robustness in Machine Learning

Autonomous Vehicle Technology and Safety

Reinforcement Learning in Robotics

Traffic Control and Management

+1

I

Iain James Cruickshank

Adjunct Assistant Professor

Computer Science

Carnegie Mellon University

Adversarial Robustness in Machine Learning

Ethics and Social Impacts of AI

Explainable Artificial Intelligence (xai)

Social Robot Interaction and Hri

+1

Z

Zachary Chase Lipton

Associate Professor without Tenure

Computer Science

Carnegie Mellon University

Adversarial Robustness in Machine Learning

Domain Adaptation and Few-Shot Learning

Machine Learning and Data Classification

Natural Language Processing Techniques

+1

C

Clement Yat Fung

Post Doctoral Associate

Computer Science

Carnegie Mellon University

Adversarial Robustness in Machine Learning

Cryptography and Data Security

Distributed and Parallel Computing Systems

Privacy-Preserving Technologies in Data

+1

J

Principal Systems Scientist

Computer Science

Carnegie Mellon University

Adversarial Robustness in Machine Learning

Formal Methods in Verification

Reinforcement Learning in Robotics

M

Matt Fredrikson

Associate Professor

Computer Science

Carnegie Mellon University

Advanced Malware Detection Techniques

Adversarial Robustness in Machine Learning

Ethics and Social Impacts of AI

Explainable Artificial Intelligence (xai)

+1

S

Shinji Watanabe

Associate Professor with Tenure

Computer Science

Carnegie Mellon University

Advanced Neural Network Applications

Adversarial Robustness in Machine Learning

Multimodal Machine Learning Applications

Natural Language Processing Techniques

+1

O

Associate Professor

Computer Science

Carleton University

Adversarial Robustness in Machine Learning

Data Stream Mining Techniques

Network Security and Intrusion Detection

Sentiment Analysis and Opinion Mining

+5

A

Professor

Computer Science

Carleton University

Advanced Malware Detection Techniques

Adversarial Robustness in Machine Learning

Internet Traffic Analysis and Secure E-Voting

Network Security and Intrusion Detection

+2

Z

Zinovi Rabinovich

Assistant Professor

Computer Science

Carleton University

Adversarial Robustness in Machine Learning

Auction Theory and Applications

Game Theory and Applications

Game Theory and Voting Systems

+1

X

Xuezhou (Jack) Zhang

Assistant Professor

Computer Science

Boston University

Adversarial Robustness in Machine Learning

Machine Learning and Algorithms

Machine Learning and Data Classification

Reinforcement Learning in Robotics

+1

J

Jessica Finocchiaro

Assistant Professor

Computer Science

Boston College

Adversarial Robustness in Machine Learning

Electoral Systems and Political Participation

Experimental Behavioral Economics Studies

Machine Learning and Algorithms

+1

Y

Assistant Professor

Computer Science

Boise State University

Advanced Image and Video Retrieval Techniques

Advanced Neural Network Applications

Adversarial Robustness in Machine Learning

Domain Adaptation and Few-Shot Learning

+4