Biography and Research Information
OverviewAI-generated summary
Kshitiz Tiwari's research focuses on natural language processing, particularly in the context of adversarial attacks and hate speech detection. His work investigates methods to enhance the robustness of natural language processing models against malicious manipulations. In one publication, he explored the implications of Minimum Description Length for adversarial attacks in this domain. Another publication addressed robust hate speech detection by mitigating spurious correlations. Tiwari's scholarship metrics include an h-index of 2, with a total of 2 publications and 6 citations.
Metrics
- h-index: 2
- Publications: 2
- Citations: 6
Selected Publications
-
Implications of Minimum Description Length for Adversarial Attack in Natural Language Processing (2024)
-
Robust Hate Speech Detection via Mitigating Spurious Correlations (2022)
Collaboration Network
Top Collaborators
Lu Zhang
University of Arkansas at Fayetteville (US)
1 shared publication
- Implications of Minimum Description Length for Adversarial Attack in Natural Language Processing
Shuhan Yuan
1 shared publication
- Robust Hate Speech Detection via Mitigating Spurious Correlations
Lu Zhang
1 shared publication
- Robust Hate Speech Detection via Mitigating Spurious Correlations
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