1 citations · 2 across the 5 of their papers we have counts for
5 papers
BB-Patch: BlackBox Adversarial Patch-Attack using Zeroth-Order Optimization
Satyadwyoom Kumar, Saurabh Gupta, Arun Balaji Buduru
Deep Learning has become popular due to its vast applications in almost all domains. However, models trained using deep learning are prone to failure for adversarial samples and ca…
"A Virus Has No Religion": Analyzing Islamophobia on Twitter During the COVID-19 Outbreak
Mohit Chandra, Manvith Reddy, Shradha Sehgal +3
The COVID-19 pandemic has disrupted people's lives driving them to act in fear, anxiety, and anger, leading to worldwide racist events in the physical world and online social netwo…
Multi-objective Reinforcement Learning based approach for User-Centric Power Optimization in Smart Home Environments
Saurabh Gupta, Siddhant Bhambri, Karan Dhingra +2
Smart homes require every device inside them to be connected with each other at all times, which leads to a lot of power wastage on a daily basis. As the devices inside a smart hom…
imdpGAN: Generating Private and Specific Data with Generative Adversarial Networks
Saurabh Gupta, Arun Balaji Buduru, Ponnurangam Kumaraguru
Generative Adversarial Network (GAN) and its variants have shown promising results in generating synthetic data. However, the issues with GANs are: (i) the learning happens around…
Hashtags are (not) judgemental: The untold story of Lok Sabha elections 2019
Saurabh Gupta, Asmit Kumar Singh, Arun Balaji Buduru +1
Hashtags in online social media have become a way for users to build communities around topics, promote opinions, and categorize messages. In the political context, hashtags on Twi…