DB
Dr.Rajesh Bansode
Thakur College of Engineering and Technology
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · Adversarial Robustness in Machine Learning · Digital Media Forensic Detection
0000-0002-7054-2601
Employment
-
Thakur college of engineering and technology Professor - IT Department, MR & IQAC Coordinator2007 - Present
Education
- 2010 - 2016
Projects & Funding
Projects & funding information is unavailable.
Publications (83)
- Cyber Security Concerns for IoB Save
- Design and Analysis of Adversarial Samples in Safety–Critical Environment: Disease Prediction System Save
- Design and Development of Framework To Secure IoT Data Save
- Design and Analysis of Adversarial Samples in Safety--Critical Environment: Disease Prediction System Save
- Efficient authentication method using binary search tree with multi-gateway in wireless IoT Save
- Evolutionary Algorithm With Self-Learning Strategy for Generation of Adversarial Samples Save
- Generation of adversarial mechanisms in deep neural networks: A survey of the state of the art Save
- Review of Lightweight Cryptography for Secure Data Transmission in Resource Constraint Environment of IoT Save
- An Analysis of Derivative-Based Optimizers on Deep Neural Network Models Save
- Analyzing Probabilistic Adversarial Samples to Attack Cloud Vision Image Classifier Service Save
- Broadcast Tree Construction for Shortest Path Finding Techniques in WSN IEEE802. 11n Save
- Energy Efficient Approaches for Dynamic Cluster Head Selection Using Optimized Genetic Algorithm in Cluster Networks of WSN. Save
- Explore and analysis of methods to train cnn in machine learning environment Save
- Performance Evaluation of Adversarial Examples on Deep Neural Network Architectures Save
- Secure Data Aggregation and Data Transmission Using HMAC Protocol in Cluster Base Wireless Sensor Network Save
- Securing IoT devices generated data using homomorphic encryption Save
- IC-BCT 2019 Save
- Performance Evaluation of Adversarial Examples on Deep Neural Network Architectures Save
- Performance evaluation of hybrid cryptography algorithm for secure sharing of text & images Save
- Securing Medical Data Using Fully Homomorphic Encryption Save