Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Eldor Abdukhamidov
Affiliation
Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, South Korea
Topic
Adversarial Attacks,Adversarial Examples,Adversarial Perturbations,Attack Success Rate,Benign Samples,Class Activation Maps,Deep Learning,Deep Learning Models,Defense Techniques,ImageNet Dataset,Interpretation Of Maps,Model Interpretation,Target Model,Threat Model,Adversarial Training,Adversary Model,Amount Of Noise,Attack Methods,Benign Ones,Bilevel Optimization,CIFAR-100 Dataset,Confidence Score,Convolutional Feature Maps,Deep Neural Network,Deep Neural Network Classifier,Deep Neural Network Model,Distinct Architectures,Edge Information,Edge Weights,Effects Of Attacks,Gradient Descent,Intersection Over Union Score,Leakage Rate,Maps Of Samples,Prediction Model,Second Moment,Source Categories,Source Class,Structural Similarity Index Measure,Student Model,Target Category,Teacher Model,Top-1 Accuracy,Top-5 Accuracy,Type Of Interpretation,Wide Range Of Samples,
Biography
Eldor Abdukhamidov received the BS degree from Inha University in Tashkent, in 2019. He is currently working toward the master's and PhD degrees in computer science and engineering with Sungkyunkwan University, Suwon, South Korea. His main research interests include image processing, machine learning and information security.