1 citations · 2 across the 5 of their papers we have counts for
7 papers
Deep neural network loses attention to adversarial images
Shashank Kotyan, Danilo Vasconcellos Vargas
Adversarial algorithms have shown to be effective against neural networks for a variety of tasks. Some adversarial algorithms perturb all the pixels in the image minimally for the…
Representation Quality Of Neural Networks Links To Adversarial Attacks and Defences
Shashank Kotyan, Danilo Vasconcellos Vargas, Moe Matsuki
Neural networks have been shown vulnerable to a variety of adversarial algorithms. A crucial step to understanding the rationale for this lack of robustness is to assess the potent…
Adversarial Robustness Assessment: Why both and Attacks Are Necessary
Shashank Kotyan, Danilo Vasconcellos Vargas
There exists a vast number of adversarial attacks and defences for machine learning algorithms of various types which makes assessing the robustness of algorithms a daunting task.…
Self Training Autonomous Driving Agent
Shashank Kotyan, Danilo Vasconcellos Vargas, Venkanna U
Intrinsically, driving is a Markov Decision Process which suits well the reinforcement learning paradigm. In this paper, we propose a novel agent which learns to drive a vehicle wi…
Analysis and Comparison of Different Fuzzy Inference Systems used in Decision Making for Secondary Users in Cognitive Radio Network
Ashish Upadhyay, Shashank Kotyan, Shrivishal Tripathi +1
Spectrum scarcity is one of the major challenges that the modern communication engineers are going through because of inefficient utilization of allocated frequency spectrum. The s…
HAUAR: Home Automation Using Action Recognition
Shashank Kotyan, Nishant Kumar, Pankaj Kumar Sahu +1
Today, many of the home automation systems deployed are mostly controlled by humans. This control by humans restricts the automation of home appliances to an extent. Also, most of…