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Adversarial Robustness in Machine Learning

Adversarial Robustness in Machine Learning

299 faculty research Adversarial Robustness in Machine Learning on GradNova.

G
AI Dependability
Hpc Fault Tolerance and Data Reduction
Safety of Automonous Driving Systems
Autonomous Vehicle Technology and Safety
+4
C
Data Acquisition
Data Pipeline
Interactive Machine Learning
Labeling
+6
Y
Algorithmic Fairness
Data Mining
Security and Privacy
Traffic Prediction and Management Techniques
+2
D
AI for Healthcare
Bioinformatics
Machine Learning
Theoretical Computer Science
+5
T
Adversarial Robustness in Machine Learning
Energy Load and Power Forecasting
Power System Reliability and Maintenance
Power Systems and Renewable Energy
+1
H
Adversarial Robustness in Machine Learning
Embedded Systems Design Techniques
Formal Methods in Verification
Parallel Computing and Optimization Techniques
+1
G
Adversarial Robustness in Machine Learning
Blind Source Separation Techniques
Distributed Sensor Networks and Detection Algorithms
Reinforcement Learning in Robotics
+1
F
Advanced Malware Detection Techniques
Advanced Memory and Neural Computing
Adversarial Robustness in Machine Learning
Parallel Computing and Optimization Techniques
+1
M
Adversarial Robustness in Machine Learning
Cryptography and Data Security
Privacy-Preserving Technologies in Data
Security and Verification in Computing
+1
S
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
+1
Y
Computer Vision
Machine Learning
Multi-Modality Modeling
Robustness in Healthcare
+5
R
Adversarial Robustness in Machine Learning
Hydrological Forecasting Using AI
Hydrology and Watershed Management Studies
Privacy-Preserving Technologies in Data
+1
F
Access Control and Trust
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Cryptography and Data Security
+1
Y
Data Mining
Machine Learning
Network Science and Statistical-Signal Processing
Advanced Graph Neural Networks
+4
A
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Integrated Circuits and Semiconductor Failure Analysis
Parallel Computing and Optimization Techniques
+1
H
Huanrui Yang

Assistant Professor, School of Electrical, Computing, and Software Engineering

School of Electrical, Computing, and Software Engineering

University of Arizona

Advanced Memory and Neural Computing
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
+1
R
Rozhin Yasaei

Assistant Professor of Cyber Operations, Intelligence, and Technology Assistant Professor, School of Electrical, Computing, and Software Engineering

School of Electrical, Computing, and Software Engineering

University of Arizona

Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Integrated Circuits and Semiconductor Failure Analysis
Physical Unclonable Functions (pufs) and Hardware Security
+1
Q
Qingzhao Zhang

Assistant Professor, School of Electrical, Computing, and Software Engineering

School of Electrical, Computing, and Software Engineering

University of Arizona

Adversarial Robustness in Machine Learning
Autonomous Vehicle Technology and Safety
Blockchain Technology Applications and Security
Cryptography and Data Security
+1
M
Advanced Bandit Algorithms Research
Adversarial Robustness in Machine Learning
Artificial Intelligence in Games
Data Stream Mining Techniques
+1
D
Computer Security
Data Analytics
Digital Twins
Intelligent Systems
+8
D
Computer Security
Data Privacy
Generative AI & Llms
Human-Computer Interaction
+8
D
Dr. Shahram Rahimi

Head of the Department of Computer Science, Professor

Computer Science

University of Alabama

Computer Science Education
Generative AI & Llms
Machine Learning
Multi-Criterion Optimization and Decision-Making
+8
N
Adversarial Robustness in Machine Learning
Electric Power System Optimization
Optimal Power Flow Distribution
Reinforcement Learning in Robotics
+1
P
Pascal Germain

Département d'informatique et de génie logiciel

Computer Science

Université Laval

Apprentissage Machine
Intelligence Artificielle (ia)
Machine Learning and Algorithms
Domain Adaptation and Few-Shot Learning
+3
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