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20172026
most citedHarnessing the Vulnerability of Latent Layers in Adversarially Trained Models

23 citations · 69 across the 31 of their papers we have counts for

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Showing 2020Show all

14 papers · 1 filter

cs.CV2020

Data InStance Prior (DISP) in Generative Adversarial Networks

Puneet Mangla, Nupur Kumari, Mayank Singh +2

Recent advances in generative adversarial networks (GANs) have shown remarkable progress in generating high-quality images. However, this gain in performance depends on the availab…

cs.IR20202 cited

CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information

Heer Ambavi, Kavita Vaishnaw, Udit Vyas +2

The entire world is engulfed in the fight against the COVID-19 pandemic, leading to a significant surge in research experiments, government policies, and social media discussions.…

cs.CV2020

LT-GAN: Self-Supervised GAN with Latent Transformation Detection

Parth Patel, Nupur Kumari, Mayank Singh +1

Generative Adversarial Networks (GANs) coupled with self-supervised tasks have shown promising results in unconditional and semi-supervised image generation. We propose a self-supe…

cs.SI2020

PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger

Vivek Srivastava, Mayank Singh

WhatsApp Messenger is one of the most popular channels for spreading information with a current reach of more than 180 countries and 2 billion people. Its widespread usage has made…

physics.soc-ph2020

Identifying early-warning indicators of tipping points in networked systems against sequential attacks

Utkarsh Gangwal, Udit Bhatia, Mayank Singh +3

Network structures in a wide array of systems such as social networks, transportation, power and water distribution infrastructures, and biological and ecological systems can exhib…

cs.CV2020

Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections

Nidhin Harilal, Udit Bhatia, Mayank Singh

Projection of changes in extreme indices of climate variables such as temperature and precipitation are critical to assess the potential impacts of climate change on human-made and…