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Adversarial Robustness in Machine Learning

Adversarial Robustness in Machine Learning

107 faculty research Adversarial Robustness in Machine Learning on GradNova.

S
Additive Manufacturing and 3D Printing Technologies
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Blockchain Technology Applications and Security
+1
A
AI in Health Care
And Quantum Machine Learning
Applied AI
Data Analytics
+10
A
Ai4science
Decision-Making Under Uncertainty
Deep Learning
Uncertainty Quantification
+5
D
Dongxiao Zhu

Professor | Founding Director, Wayne AI Research Initiative | Director, Institute for AI and Data Science

Computer Science

Wayne State University

Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Bioinformatics and Genomic Networks
Gene Expression and Cancer Classification
+1
H
Advanced Control Systems Optimization
Adversarial Robustness in Machine Learning
Formal Methods in Verification
Gene Regulatory Network Analysis
+1
B
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Internet Traffic Analysis and Secure E-Voting
Network Security and Intrusion Detection
+1
J
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Network Security and Intrusion Detection
+1
S
Song Gao

Associate Professor, Department of Geography & Director of Geospatial Data Science Lab

Computer Science

University of Wisconsin–Madison

Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Land Use and Ecosystem Services
+1
T
Advanced Bandit Algorithms Research
Adversarial Robustness in Machine Learning
Machine Learning and Algorithms
Reinforcement Learning in Robotics
+1
P
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Internet Traffic Analysis and Secure E-Voting
Network Security and Intrusion Detection
+1
Y
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Face and Expression Recognition
Sparse and Compressive Sensing Techniques
+1
F
Adversarial Robustness in Machine Learning
Multimodal Machine Learning Applications
Topic Modeling
S
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
Sparse and Compressive Sensing Techniques
+1
A
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (xai)
Robotic Mechanisms and Dynamics
+1
G
Adversarial Robustness in Machine Learning
Cryptography and Data Security
Machine Learning and Algorithms
Privacy-Preserving Technologies in Data
+1
S
Stephen Tu

Assistant Professor of Electrical and Computer Engineering and Computer Science

Computer Science

University of Southern California

Adversarial Robustness in Machine Learning
Formal Methods in Verification
Model Reduction and Neural Networks
Probabilistic and Robust Engineering Design
+1
S
Salman Avestimehr

Dean's Professor of Electrical and Computer Engineering and Professor of Electrical and Computer Engineering and Computer Science

Computer Science

University of Southern California

Adversarial Robustness in Machine Learning
Cooperative Communication and Network Coding
Cryptography and Data Security
Privacy-Preserving Technologies in Data
+1
F
Deep Learning
Information Retrieval
Machine Learning
Reinforcement Learning
+5
Y
Yuhao Zhu

Associate Professor of Computer Science

Computer Science

University of Rochester

Augmented/virtual Reality
Computational Art, Art History, and Aesthetics
Computer Imaging and Graphics
Computer Systems and Architecture
+6
K
Computer Science
Adversarial Robustness in Machine Learning
Advanced Memory and Neural Computing
Advanced Malware Detection Techniques
+2
D
Machine Learning
Bayesian Modeling and Causal Inference
Adversarial Robustness in Machine Learning
Topic Modeling
+2
D
Adversarial Learning
Imbalanced Data
Randomized Search Heuristics
Semi-Supervised Learning
+6
Q
Qi Cheng

Williams Company Foundation Presidential Professor

Computer Science

University of Oklahoma

Algorithmic Self-Assembly
Cryptography
Dna/molecular Computing
Theoretical Computer Science
+3
G
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Explainable Artificial Intelligence (xai)
Parallel Computing and Optimization Techniques
+1
2

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