◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

V. Runkana

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG4

identity via Semantic Scholar / OpenAlex

most citedUntargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series

41 citations · 42 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2022★ 1 cited

Semi-Supervised Cascaded Clustering for Classification of Noisy Label Data

Ashit Gupta, Anirudh Deodhar, Tathagata Mukherjee +1

The performance of supervised classification techniques often deteriorates when the data has noisy labels. Even the semi-supervised classification approaches have largely focused o…

cs.LG2021

Multi Scale Graph Wavenet for Wind Speed Forecasting

Neetesh Rathore, Pradeep Rathore, Arghya Basak +2

Geometric deep learning has gained tremendous attention in both academia and industry due to its inherent capability of representing arbitrary structures. Due to exponential increa…

cs.LG2021

Universal Adversarial Attack on Deep Learning Based Prognostics

Arghya Basak, Pradeep Rathore, Sri Harsha Nistala +2

Deep learning-based time series models are being extensively utilized in engineering and manufacturing industries for process control and optimization, asset monitoring, diagnostic…

cs.LG2021★ 41 cited

Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series

Pradeep Rathore, Arghya Basak, Sri Harsha Nistala +1

Deep learning based models are vulnerable to adversarial attacks. These attacks can be much more harmful in case of targeted attacks, where an attacker tries not only to fool the d…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.