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20212025
most citedSecurity Assessment Rating Framework for Enterprises using MITRE ATT&CK Matrix

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Matryoshka Model Learning for Improved Elastic Student Models

Chetan Verma, Aditya Srinivas Timmaraju, Cho-Jui Hsieh +7

Industry-grade ML models are carefully designed to meet rapidly evolving serving constraints, which requires significant resources for model development. In this paper, we propose…

cs.CL2024

Unpacking the Resilience of SNLI Contradiction Examples to Attacks

Chetan Verma, Archit Agarwal

Pre-trained models excel on NLI benchmarks like SNLI and MultiNLI, but their true language understanding remains uncertain. Models trained only on hypotheses and labels achieve hig…

cs.CL2023

URL-BERT: Training Webpage Representations via Social Media Engagements

Ayesha Qamar, Chetan Verma, Ahmed El-Kishky +3

Understanding and representing webpages is crucial to online social networks where users may share and engage with URLs. Common language model (LM) encoders such as BERT can be use…

cs.LG2022

Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs

Jyoti Narwariya, Chetan Verma, Pankaj Malhotra +3

In electricity markets, retailers or brokers want to maximize profits by allocating tariff profiles to end consumers. One of the objectives of such demand response management is to…

cs.CR2021★ 3 cited

Security Assessment Rating Framework for Enterprises using MITRE ATT&CK Matrix

Hardik Manocha, Akash Srivastava, Chetan Verma +2

Threats targeting cyberspace are becoming more prominent and intelligent day by day. This inherently leads to a dire demand for continuous security validation and testing. Using th…