5 citations · 13 across the 15 of their papers we have counts for
15 papers
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection
Akshit Jindal, Vikram Goyal, Saket Anand +1
Machine Learning (ML) models become vulnerable to Model Stealing Attacks (MSA) when they are deployed as a service. In such attacks, the deployed model is queried repeatedly to bui…
'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word Problems
Rishabh Gupta, Venktesh V, Mukesh Mohania +1
This paper introduces the novel task of scoring paraphrases for Algebraic Word Problems (AWP) and presents a self-supervised method for doing so. In the current online pedagogical…
Topic Aware Contextualized Embeddings for High Quality Phrase Extraction
Venktesh V, Mukesh Mohania, Vikram Goyal
Keyphrase extraction from a given document is the task of automatically extracting salient phrases that best describe the document. This paper proposes a novel unsupervised graph-b…
DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks
Dhruv Sahnan, Vasu Goel, Sarah Masud +3
With an increasing outreach of digital platforms in our lives, researchers have taken a keen interest to study different facets of social interactions that seem to be evolving rapi…
TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy
Venktesh V, Mukesh Mohania, Vikram Goyal
Online educational platforms organize academic questions based on a hierarchical learning taxonomy (subject-chapter-topic). Automatically tagging new questions with existing taxono…
THUE: Discovering Top-K High Utility Episodes
Shicheng Wan, Jiahui Chen, Wensheng Gan +2
Episode discovery from an event is a popular framework for data mining tasks and has many real-world applications. An episode is a partially ordered set of objects (e.g., item, nod…