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08/09/2023
Data-Free Model Extraction Attacks in the Context of Object Detection
A significant number of machine learning models are vulnerable to model ...
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01/27/2023
Targeted Attacks on Timeseries Forecasting
Real-world deep learning models developed for Time Series Forecasting ar...
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02/18/2022
Critical Checkpoints for Evaluating Defence Models Against Adversarial Attack and Robustness
From past couple of years there is a cycle of researchers proposing a de...
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09/10/2021
Emerging AI Security Threats for Autonomous Cars – Case Studies
Artificial Intelligence has made a significant contribution to autonomou...
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10/08/2020
Mapping of Real World Problems to Nature Inspired Algorithm using Goal based Classification and TRIZ
The technologies and algorithms are growing at an exponential rate. The ...
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06/16/2020
NodeNet: A Graph Regularised Neural Network for Node Classification
Real-world events exhibit a high degree of interdependence and connectio...
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04/23/2020
Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms
Synthetic Aperture Radar (SAR) images contain a huge amount of informati...
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02/20/2020
A Novel Framework for Selection of GANs for an Application
Generative Adversarial Network (GAN) is a current focal point of researc...
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02/13/2020
Dynamic Role-Based Access Control for Decentralized Applications
Access control management is an integral part of maintaining the securit...
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02/12/2020