4 citations · 9 across the 7 of their papers we have counts for
3 papers · 1 filter
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…