4 citations · 9 across the 7 of their papers we have counts for
7 papers
Towards Adversarial Purification using Denoising AutoEncoders
Dvij Kalaria, Aritra Hazra, Partha Pratim Chakrabarti
With the rapid advancement and increased use of deep learning models in image identification, security becomes a major concern to their deployment in safety-critical systems. Since…
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries
Manaar Alam, Shubhajit Datta, Debdeep Mukhopadhyay +2
The security of deep learning (DL) systems is an extremely important field of study as they are being deployed in several applications due to their ever-improving performance to so…
Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City
Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti
Agent-Based Models are very useful for simulation of physical or social processes, such as the spreading of a pandemic in a city. Such models proceed by specifying the behavior of…
Artificial Intelligence Methods Based Hierarchical Classification of Frontotemporal Dementia to Improve Diagnostic Predictability
Km Poonam, Rajlakshmi Guha, Partha P Chakrabarti
Patients with Frontotemporal Dementia (FTD) have impaired cognitive abilities, executive and behavioral traits, loss of language ability, and decreased memory capabilities. Based o…
City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling
Gaurav Suryawanshi, Varun Madhavan, Adway Mitra +1
During the Covid-19 pandemic, most governments across the world imposed policies like lock-down of public spaces and restrictions on people's movements to minimize the spread of th…
Joint Seat Allocation 2018: An algorithmic perspective
Surender Baswana, Partha Pratim Chakrabarti, Yashodhan Kanoria +2
Until 2014, admissions to the Indian Institutes of Technology (IITs) were conducted under one umbrella, whereas the admissions to the non-IIT Centrally Funded Government Institutes…
Node inspection and analysis thereof in the light of area estimation and curve fitting
A. Kumar, P. Chakrabarti, P. Saini
In this paper, we have given an idea of area specification and its corresponding sensing of nodes in a dynamic network. We have applied the concept of Monte Carlo methods in this r…