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Adversarial Robustness in Machine Learning

Adversarial Robustness in Machine Learning

299 faculty research Adversarial Robustness in Machine Learning on GradNova.

N
Neil Gong

Associate Professor of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Duke University

Cybersecurity and Trustworthy AI
Adversarial Robustness in Machine Learning
Privacy-Preserving Technologies in Data
Spam and Phishing Detection
+2
P
Peter Chin

Adjuncts Professor of Engineering

Computer Science

Dartmouth College

Adversarial Robustness in Machine Learning
Lysosomal Storage Disorders Research
Multiple Sclerosis Research Studies
Peripheral Neuropathies and Disorders
+1
S
Shawn Shan

Assistant Professor of Computer Science

Computer Science

Dartmouth College

Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Digital Media Forensic Detection
+1
D
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Bayesian Modeling and Causal Inference
Explainable Artificial Intelligence (xai)
S
Applied Cryptography
Operating Systems
Security and Privacy
Software Engineering
+5
S
Artificial Intelligence (ai)
Automated Planning
Explainable/human-Aware AI
Neuro-Symbolic AI
+6
R
Algorithmic Fairness
Assured Autonomy
Formal Methods
Machine Learning
+6
N
Artificial Intelligence Applications
Athlete Injury Prevention
Audio/text
Computer Vision
+11
U
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (xai)
Privacy-Preserving Technologies in Data
+1
J
Adversarial Robustness in Machine Learning
Physical Unclonable Functions (pufs) and Hardware Security
Security and Verification in Computing
Y
FPGA-Based Virtualization System and Security
Hardware-Based Accelerator Design
Hardware-Oriented Security and Trust
Trustworthy AI Acceleration and Optimization
+6
E
Adversarial Robustness in Machine Learning
Blockchain Technology Applications and Security
Formal Methods in Verification
Real-Time Systems Scheduling
+1
W
Adversarial Robustness in Machine Learning
Control Systems and Identification
Fault Detection and Control Systems
Stability and Control of Uncertain Systems
+1
R
<p>machine Learning and Robotics</p>
Autonomous Vehicle Technology and Safety
Gaussian Processes and Bayesian Inference
Reinforcement Learning in Robotics
+2
Y
<p>he Is Broadly Interested in Data Mining
Ai4d-Gen
Ai4d-Llm. His Recent Focuses Are Space-Time Intelligence
And Knowledgize Data? Several Contributed Projects Includes Ai4d-RL
+15
K
KC Santosh

Professor, Chair of Computer Science

Computer Science

University of South Dakota

Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Explainable Artificial Intelligence (xai)
Generative Adversarial Networks and Image Synthesis
+1
R
Causal Inference
Causal Machine Learning
Data Mining
Generative AI
+7
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
+11
A
Ai4science
Decision-Making Under Uncertainty
Deep Learning
Uncertainty Quantification
+5
D
Dongxiao Zhu

Professor | Founding Director, Wayne AI Research Lab | 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
Adversarial Robustness in Machine Learning
Formal Methods in Verification
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
+1
T
Computer Networks
Topic Modeling
Adversarial Robustness in Machine Learning
Explainable Artificial Intelligence (xai)
+2
B
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Generative Adversarial Networks and Image Synthesis
Network Security and Intrusion Detection
+1
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