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Adversarial Robustness in Machine Learning

Adversarial Robustness in Machine Learning

299 faculty research Adversarial Robustness in Machine Learning on GradNova.

W
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Cryptography and Data Security
Privacy-Preserving Technologies in Data
+1
Q
Adversarial Robustness in Machine Learning
Complex Network Analysis Techniques
Information and Cyber Security
Infrastructure Resilience and Vulnerability Analysis
+1
S
Adversarial Robustness in Machine Learning
Integrated Circuits and Semiconductor Failure Analysis
Low-Power High-Performance VLSI Design
Parallel Computing and Optimization Techniques
+1
A
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Machine Learning and Data Classification
+1
R
Ramesh Karri

Electrical and Computer Engineering Department Chair; Professor of ECE

Department of Electrical and Computer Engineering

New York University

Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Embedded Systems Design Techniques
Parallel Computing and Optimization Techniques
+1
H
AI for Precision Medicine and Biomedical Data Analysis
Artificial Intelligence in Rehabilitation Robotics
LLM for Scientific Computing and Discovery
Machine Learning for Variant Effect Prediction
+7
A
Adversarial Robustness in Machine Learning
Caching and Content Delivery
Cooperative Communication and Network Coding
Mobile Ad Hoc Networks
+1
K
Cyber-Physical System Security
Deep Learning
Hardware Security
Network Security
+5
L
Adversarial Robustness in Machine Learning
Biometric Identification and Security
Cryptography and Data Security
Face Recognition and Analysis
+1
V
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Biometric Identification and Security
Domain Adaptation and Few-Shot Learning
+1
D
Advanced Bandit Algorithms Research
Adversarial Robustness in Machine Learning
Auction Theory and Applications
Reinforcement Learning in Robotics
+1
M
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Formal Methods in Verification
Machine Learning and Algorithms
+1
L
Adaptive Dynamic Programming Control
Advanced Bandit Algorithms Research
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
+1
M
Safety and Stability of Learning-Enabled Autonomous Systems
Adversarial Robustness in Machine Learning
Fault Detection and Control Systems
Advanced Control Systems Optimization
+2
H
Computer Vision
Machine Learning
Robotics
Robot Manipulation and Learning
+4
S
Shouvik Roy

Assistant Teaching Professor of Computer Science

Computer Science

Illinois Institute of Technology

Adversarial Robustness in Machine Learning
Distributed Control Multi-Agent Systems
Formal Methods in Verification
Reinforcement Learning in Robotics
+1
Y
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Cryptography and Data Security
Network Security and Intrusion Detection
+1
Y
Yicheng Zhang

Assistant Professor, Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

George Mason University

Ar/vr Security and Privacy
GPU and FPGA Side-Channel Analysis
Hardware and System Security
Microarchitectural Vulnerabilities and Defenses
+5
K
Khaled Khasawneh

Assistant Professor, Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

George Mason University

Adversarial Machine Learning
Computer Architecture Support for Security
Malware Detection
Side Channel Attacks
+5
Z
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Integrated Circuits and Semiconductor Failure Analysis
+1
A
Human-Centered Computing
Sociotechnical Security and Privacy
Topic Modeling
Adversarial Robustness in Machine Learning
+3
A
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Blockchain Technology Applications and Security
IoT-Based Smart Home Systems
+1
E
Emily Wenger

Cue Family Assistant Professor of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Duke University

Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Cryptographic Implementations and Security
+1
M
Miroslav Pajic, Ph.D.

Director of Master's Studies, Professor in the Department of ECE

Department of Electrical and Computer Engineering

Duke University

Design and Analysis of Autonomous Cyber-Physical Systems (cps), and in Particular, Embedded Systems, Ai, Learning and Controls, Cps Security and High-Assurance Autonomy, With Various Application…
Advanced Neural Network Applications
Human-Automation Interaction and Safety
Advanced Graph Neural Networks
+2
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