activity
20172019
most citedHarnessing the Vulnerability of Latent Layers in Adversarially Trained Models

23 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DL2019

BioGen: Automated Biography Generation

Heer Ambavi, Ayush Garg, Nitiksha +4

A biography of a person is the detailed description of several life events including his education, work, relationships, and death. Wikipedia, the free web-based encyclopedia, cons…

cs.LG201923 cited

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models

Mayank Singh, Abhishek Sinha, Nupur Kumari +3

Neural networks are vulnerable to adversarial attacks -- small visually imperceptible crafted noise which when added to the input drastically changes the output. The most effective…

cs.DL2019

The Evolving Ecosystem of Predatory Journals: A Case Study in Indian Perspective

Naman Jain, Mayank Singh

Digital advancement in scholarly repositories has led to the emergence of a large number of open access predatory publishers that charge high article processing fees from authors b…

cs.LG2018

Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space

Mayank Singh, Abhishek Sinha, Balaji Krishnamurthy

Recently, Neural networks have seen a huge surge in its adoption due to their ability to provide high accuracy on various tasks. On the other hand, the existence of adversarial exa…

cs.CL20172 cited

AppTechMiner: Mining Applications and Techniques from Scientific Articles

Mayank Singh, Soham Dan, Sanyam Agarwal +2

This paper presents AppTechMiner, a rule-based information extraction framework that automatically constructs a knowledge base of all application areas and problem solving techniqu…