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Adversarial Robustness in Machine Learning

Adversarial Robustness in Machine Learning

107 faculty research Adversarial Robustness in Machine Learning on GradNova.

F
Finale Doshi-Velez

Herchel Smith Professor of Computer Science

Computer Science

Harvard University

Advanced Bandit Algorithms Research
Explainable Artificial Intelligence (xai)
Reinforcement Learning in Robotics
Adversarial Robustness in Machine Learning
+2
S
Advanced Bandit Algorithms Research
Adversarial Robustness in Machine Learning
Auction Theory and Applications
Complexity and Algorithms in Graphs
+1
D
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Complex Network Analysis Techniques
Data Visualization and Analytics
+1
S
Sarah Adel Bargal

Assistant Professor and Provost’s Distinguished Faculty Fellow

Computer Science

Georgetown University

Computer Vision
Machine Learning
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
+3
Q
Qiang Zeng

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
Lishan Yang

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
E
Computer Graphics
Computer Vision
Game Development
Machine Learning
+8
A
Adversarial Robustness in Machine Learning
Cryptography and Data Security
Internet Traffic Analysis and Secure E-Voting
Network Security and Intrusion Detection
+1
T
Convex and Non-Convex Optimization
Deep Learning
Machine Learning
Advanced Neural Network Applications
+4
M
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Autonomous Vehicle Technology and Safety
+1
H
Hengwei Zhang

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
Adversarial Robustness in Machine Learning
Artificial Intelligence in Games
Auction Theory and Applications
Open Source Software Innovations
+5
S
Sumon Biswas

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
Adversarial Robustness in Machine Learning
Artificial Intelligence in Healthcare and Education
Ethics and Social Impacts of AI
D
Adversarial Robustness in Machine Learning
Explainable Artificial Intelligence (xai)
Generative Adversarial Networks and Image Synthesis
Advanced Software Engineering Methodologies
+4
M
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
ICT in Developing Communities
Innovative Human-Technology Interaction
+1
D
Ding Zhao

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
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (xai)
Social Robot Interaction and Hri
+1
Z
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Machine Learning and Data Classification
Natural Language Processing Techniques
+1
C
Adversarial Robustness in Machine Learning
Cryptography and Data Security
Distributed and Parallel Computing Systems
Privacy-Preserving Technologies in Data
+1
Z
Advanced Sar Imaging Techniques
Computational Geometry and Mesh Generation
Geophysical Methods and Applications
Medical Imaging Techniques and Applications
+5
J
Adversarial Robustness in Machine Learning
Formal Methods in Verification
Reinforcement Learning in Robotics
M
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (xai)
+1
S
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
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