26 citations · 44 across the 10 of their papers we have counts for
10 papers
Data-Free Model Extraction Attacks in the Context of Object Detection
Harshit Shah, Aravindhan G, Pavan Kulkarni +2
A significant number of machine learning models are vulnerable to model extraction attacks, which focus on stealing the models by using specially curated queries against the target…
Targeted Attacks on Timeseries Forecasting
Yuvaraj Govindarajulu, Avinash Amballa, Pavan Kulkarni +1
Real-world deep learning models developed for Time Series Forecasting are used in several critical applications ranging from medical devices to the security domain. Many previous w…
Critical Checkpoints for Evaluating Defence Models Against Adversarial Attack and Robustness
Kanak Tekwani, Manojkumar Parmar
From past couple of years there is a cycle of researchers proposing a defence model for adversaries in machine learning which is arguably defensible to most of the existing attacks…
Emerging AI Security Threats for Autonomous Cars -- Case Studies
Shanthi Lekkala, Tanya Motwani, Manojkumar Parmar +1
Artificial Intelligence has made a significant contribution to autonomous vehicles, from object detection to path planning. However, AI models require a large amount of sensitive t…
Mapping of Real World Problems to Nature Inspired Algorithm using Goal based Classification and TRIZ
Palak Sukharamwala, Manojkumar Parmar
The technologies and algorithms are growing at an exponential rate. The technologies are capable enough to solve technically challenging and complex problems which seemed impossibl…
NodeNet: A Graph Regularised Neural Network for Node Classification
Shrey Dabhi, Manojkumar Parmar
Real-world events exhibit a high degree of interdependence and connections, and hence data points generated also inherit the linkages. However, the majority of AI/ML techniques lea…
Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms
Shrey Dabhi, Kartavya Soni, Utkarsh Patel +2
Synthetic Aperture Radar (SAR) images contain a huge amount of information, however, the number of practical use-cases is limited due to the presence of speckle noise in them. In r…
Dynamic Role-Based Access Control for Decentralized Applications
Arnab Chatterjee, Yash Pitroda, Manojkumar Parmar
Access control management is an integral part of maintaining the security of an application. Although there has been significant work in the field of cloud access control mechanism…
A Novel Framework for Selection of GANs for an Application
Tanya Motwani, Manojkumar Parmar
Generative Adversarial Network (GAN) is a current focal point of research. The body of knowledge is fragmented, leading to a trial-error method while selecting an appropriate GAN f…
Eigenvector Component Calculation Speedup over NumPy for High-Performance Computing
Shrey Dabhi, Manojkumar Parmar
Applications related to artificial intelligence, machine learning, and system identification simulations essentially use eigenvectors. Calculating eigenvectors for very large matri…