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Adversarial Robustness in Machine Learning

Adversarial Robustness in Machine Learning

299 faculty research Adversarial Robustness in Machine Learning on GradNova.

S
Apprentissage Machine
Protection De La Vie Privée Dans Le Monde Numérique (géolocalisation, Réseaux Sociaux, Systèmes Distribués, Fouille De Données Et Gestion D’identité)
Sécurité Des Systèmes D’information
Privacy-Preserving Technologies in Data
+4
Z
Advanced Bandit Algorithms Research
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Information and Cyber Security
+1
D
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Autonomous Vehicle Technology and Safety
Explainable Artificial Intelligence (xai)
G
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Network Security and Intrusion Detection
+1
B
Advanced Steganography and Watermarking Techniques
Adversarial Robustness in Machine Learning
Cloud Data Security Solutions
Internet Traffic Analysis and Secure E-Voting
+1
U
Ufuk Topcu

Professor Department of Aerospace Engineering and Engineering Mechanics, W.A. “Tex” Moncrief, Jr. Chair in Computational Engineering and Sciences VI

Department of Electrical and Computer Engineering

The University of Texas at Austin

Advanced Control Systems Optimization
Adversarial Robustness in Machine Learning
Formal Methods in Verification
Machine Learning and Algorithms
+1
J
AI and Embodied AI
Formal Methods
Learning-Enabled Control
Safe and Assured Autonomy
+6
X
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
+1
C
Chenyu (Charles) You

Assistant Professor, Applied Mathematics & Statistics

Computer Science

Stony Brook University

Generalization
Principles and Practice of Machine Intelligence
Reliable Machine Learning
Transcranial Magnetic Stimulation Studies
+4
X
Xue Bin Jason Peng

Assistant Professor | Canada CIFAR AI Chair

Computer Science

Simon Fraser University

Advanced Computational Techniques and Applications
Adversarial Robustness in Machine Learning
Human Motion and Animation
Reinforcement Learning in Robotics
+1
D
Adversarial Robustness in Machine Learning
Open Source Software Innovations
Software Engineering Research
Software Engineering Techniques and Practices
+1
J
Jianbing Ni

Cross-Appointed Faculty - Assistant Professor

Computer Science

Queen's University

Advanced Malware Detection Techniques
Advanced Steganography and Watermarking Techniques
Adversarial Robustness in Machine Learning
Blockchain Technology Applications and Security
+1
H
Artificial Intelligence, Machine Learning, and Natural Language Processing
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Advanced Memory and Neural Computing
+2
A
Adversarial Robustness in Machine Learning
Cloud Computing and Resource Management
Explainable Artificial Intelligence (xai)
Machine Learning and Algorithms
+1
S
Advanced Malware Detection Techniques
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Internet Traffic Analysis and Secure E-Voting
+1
M
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Information and Cyber Security
+1
Y
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Software Engineering Research
Software Reliability and Analysis Research
+1
Z
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Explainable Artificial Intelligence (xai)
Misinformation and Its Impacts
+1
S
Adversarial Robustness in Machine Learning
Information and Cyber Security
Mobile Crowdsensing and Crowdsourcing
Privacy, Security, and Data Protection
+1
J
Advanced Memory and Neural Computing
Adversarial Robustness in Machine Learning
Blockchain Technology Applications and Security
Neuroscience and Neural Engineering
+1
Y
Model Compression of Deep Neural Networks (dnns)
Neuromorphic Computing and Non-Von Neumann Computing Paradigms
Real-Time and Energy-Efficient Deep Learning and Artificial Intelligence Systems
Advanced Neural Network Applications
+4
F
Computer Networks
Embedded Systems
Machine Learning
Adversarial Robustness in Machine Learning
+4
F
Configurable Computing
Distributed Systems
Fault-Tolerant Computing
Testing
+6
A
Adversarial Robustness in Machine Learning
Cryptography and Data Security
Parallel Computing and Optimization Techniques
Physical Unclonable Functions (pufs) and Hardware Security
+1
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