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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.

C

Associate Professor

Computer Science

University of Minnesota

Advanced Memory and Neural Computing

Advanced Neural Network Applications

Adversarial Robustness in Machine Learning

Ferroelectric and Negative Capacitance Devices

+1

K

Director of Cyber Security and Professor of Computer Science

Computer Science

University of Michigan–Flint

Adversarial Robustness in Machine Learning

Digital Media Forensic Detection

Generative Adversarial Networks and Image Synthesis

A

Ashokkumar Patel

Associate Teaching Professor

Computer & Information Science

University of Massachusetts Dartmouth

Advanced Graph Neural Networks

Adversarial Robustness in Machine Learning

Explainable Artificial Intelligence (xai)

...

Z

Professor; Department Chair, Computer Science

Computer Science

University of Kentucky

Adversarial Robustness in Machine Learning

Ethics and Social Impacts of AI

B

H.J. and Joan O. Wertz Professor

Computer Science

University of Kansas

Information Retrieval, Web and Online Social Networks

Information Security and Privacy, Database Security

Security and Privacy Issues in Smart Grid Systems

Xml and Conventional Database Systems, Data Management

+5

P

Peizhu (Pam) Qian

Assistant Professor

Computer Science

University of Houston

Machine Learning

Visual Computing and HCI

Explainable Artificial Intelligence (xai)

Machine Learning in Healthcare

+3

Z

Assistant Professor

Computer Science

University of Georgia

Adversarial Robustness in Machine Learning

Anomaly Detection Techniques and Applications

Integrated Circuits and Semiconductor Failure Analysis

Multidisciplinary Science and Engineering Research

+1

S

Assistant Professor

Computer & Information Science & Engineering

University of Florida

Advanced Data Storage Technologies

Advanced Malware Detection Techniques

Adversarial Robustness in Machine Learning

Ocular and Laser Science Research

+1

S

Professor

Computer & Information Science & Engineering

University of Florida

Emerging Computing Paradigms

Formal Methods and Logic

Machine Learning

Advanced Memory and Neural Computing

+4

S

Saber Jafarpour

Assistant Research Professor

Computer Science

University of Colorado Boulder

Adversarial Robustness in Machine Learning

Control and Stability of Dynamical Systems

Microgrid Control and Optimization

Model Reduction and Neural Networks

+1

A

Assistant Professor of Computer Science, Data Science

Computer Science

University of Chicago

Adversarial Robustness in Machine Learning

Complexity and Algorithms in Graphs

Cryptography and Data Security

Privacy, Security, and Data Protection

+1

M

Assistant Professor

Computer Science

University of Central Florida

Advanced Malware Detection Techniques

Adversarial Robustness in Machine Learning

Anomaly Detection Techniques and Applications

Neural Networks and Applications

+1

Q

Assistant Professor

Computer Science

University of Central Florida

Adversarial Robustness in Machine Learning

Cryptography and Data Security

Cryptography and Residue Arithmetic

Privacy-Preserving Technologies in Data

+1

L

Leilani H Gilpin

Assistant Professor

Computer Science and Engineering

University of California, Santa Cruz

Adversarial Robustness in Machine Learning

Anomaly Detection Techniques and Applications

Ethics and Social Impacts of AI

Explainable Artificial Intelligence (xai)

+1

D

Daniel J. Fremont

Associate Professor

Computer Science and Engineering

University of California, Santa Cruz

Adversarial Robustness in Machine Learning

Formal Methods in Verification

Machine Learning and Algorithms

Simulation Techniques and Applications

+1

K

Kamalika Chaudhuri

Computer Science

University of California San Diego

Adversarial Robustness in Machine Learning

Cryptography and Data Security

Machine Learning and Algorithms

Machine Learning and Data Classification

+1

H

Hamed Pirsiavash

Associate Professor

Computer Science

University of California, Davis

Computer Science

Domain Adaptation and Few-Shot Learning

Multimodal Machine Learning Applications

Human Pose and Action Recognition

+2

D

Professor

Computer Science

University of California, Berkeley

Network Security and Intrusion Detection

Advanced Malware Detection Techniques

Adversarial Robustness in Machine Learning

D

Professor

Computer Science

University of California, Berkeley

Artificial Intelligence (ai)

Operating Systems & Networking (osnt)

Programming Systems (ps)

+5

A

Assistant Professor

Computer Science

University of British Columbia

Systems & Networking

Real-Time Systems Scheduling

Parallel Computing and Optimization Techniques

Distributed Systems and Fault Tolerance

+2

Z

Assistant Professor

Computer Science

University of Arizona

Usable Security

Advancements in Battery Materials

Advanced Battery Materials and Technologies

Adversarial Robustness in Machine Learning

+2

X

Assistant Professor

Computer Science

University of Alabama at Birmingham

Adversarial Robustness in Machine Learning

Meteorological Phenomena and Simulations

Network Security and Intrusion Detection

Occupational Health and Safety Research

+1

C

Associate Professor

Computer Science

Univ. of California - Riverside

Architecture, Compilers, and Embedded Systems

Computer Security

Programming Languages and Software Engineering

Systems and Networks

+5

H

Professor and Dean of the School of Science and Engineering

Computer Science

Tulane University

Advanced Software Engineering Methodologies

Adversarial Robustness in Machine Learning

Software Engineering Research

Software Engineering Techniques and Practices

+1