34 citations · 44 across the 5 of their papers we have counts for
5 papers
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations
Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar +2
With over 500 million tweets posted per day, in Twitter, it is difficult for Twitter users to discover interesting content from the deluge of uninteresting posts. In this work, we…
Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors
Parantapa Bhattacharya, Saptarshi Ghosh, Niloy Ganguly
Over 500 million tweets are posted in Twitter each day, out of which about 11% tweets are deleted by the users posting them. This phenomenon of widespread deletion of tweets leads…
Deepfake Text Detection: Limitations and Opportunities
Jiameng Pu, Zain Sarwar, Sifat Muhammad Abdullah +5
Recent advances in generative models for language have enabled the creation of convincing synthetic text or deepfake text. Prior work has demonstrated the potential for misuse of d…
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya +2
Advances in deep neural networks (DNNs) have shown tremendous promise in the medical domain. However, the deep learning tools that are helping the domain, can also be used against…
Deepfake Videos in the Wild: Analysis and Detection
Jiameng Pu, Neal Mangaokar, Lauren Kelly +5
AI-manipulated videos, commonly known as deepfakes, are an emerging problem. Recently, researchers in academia and industry have contributed several (self-created) benchmark deepfa…