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Adversarial Robustness in Machine Learning

Adversarial Robustness in Machine Learning

299 faculty research Adversarial Robustness in Machine Learning on GradNova.

J
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Network Security and Intrusion Detection
+1
S
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Digital Media Forensic 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
K
Kassem Fawaz

Associate Chair for Research; Grainger Institute for Engineering Associate Professor

Department of Electrical and Computer Engineering

University of Wisconsin–Madison

Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Privacy, Security, and Data Protection
Privacy-Preserving Technologies in Data
+1
Y
Advanced Causal Inference Techniques
Adversarial Robustness in Machine Learning
Game Theory and Applications
Network Security and Intrusion Detection
+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
A
Adversarial Robustness in Machine Learning
Formal Methods in Verification
Quantum Computing Algorithms and Architecture
Software Engineering Research
+1
D
Advanced Graph Neural Networks
Adversarial Robustness in Machine Learning
Bioinformatics and Genomic Networks
Privacy-Preserving Technologies in Data
+1
Y
Machine Learning, Including Generative Modelling, Representation Learning, Robustness, and Kernel Methods, as Well as Application to Computer Vision and Natural Language Processing
Optimization Algorithms, Including Convex and Non Convex Optimization, Distributed and Federated Learning, Iteration Complexity Bounds, Robust and Stochastic Optimization
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
+3
S
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
A
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (xai)
SARS-Cov-2 and COVID-19 Research
+1
G
Differential Privacy, Robustness
Machine Learning and Statistics
Theoretical Computer Science
Privacy-Preserving Technologies in Data
+4
E
Elliot Creager

Assistant Professor, Electrical and Computer Engineering

David R. Cheriton School of Computer Science

University of Waterloo

Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (xai)
Generative Adversarial Networks and Image Synthesis
+1
S
Machine Learning
Security & Privacy
Privacy-Preserving Technologies in Data
Sparse and Compressive Sensing Techniques
+3
P
Explainable AI
Generative AI
Machine Learning
Natural Language Processing
+5
G
Machine Learning and Computer Security
Adversarial Robustness in Machine Learning
Advanced Malware Detection Techniques
Analytical Chemistry Methods Development
+2
V
Artificial Intelligence (natural Language Processing)
High-Performance Computing (scalable Machine Learning)
Topic Modeling
Natural Language Processing Techniques
+3
S
Stephen Tu

Assistant Professor of Electrical and Computer Engineering and Computer Science

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Adversarial Robustness in Machine Learning
Formal Methods in Verification
Model Reduction and Neural Networks
Probabilistic and Robust Engineering Design
+1
V
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Machine Learning and Algorithms
Machine Learning and Data Classification
+1
C
Advanced Neural Network Applications
Advanced Sar Imaging Techniques
Adversarial Robustness in Machine Learning
Antenna Design and Analysis
+1
S
Salman Avestimehr

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

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Adversarial Robustness in Machine Learning
Cooperative Communication and Network Coding
Cryptography and Data Security
Privacy-Preserving Technologies in Data
+1
Y
Yuhao Zhu

Stephen Biggar '92 and Elisabeth Asaro '92 Fellow in Data Science; 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
Adversarial Machine Learning
Computer Security
Computer Vision
Large Language Models
+5
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