Kush R. Varshney
3 papers in the PaperMetrix corpus
Papers by this author
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On Mismatched Detection and Safe, Trustworthy Machine Learning
2020
Instilling trust in high-stakes applications of machine learning is becoming essential. Trust may be decomposed into four dimensions: basic accuracy, reliability, human interaction, and aligned purpose. The first two of these also constitute the properties …
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Differentially Private SGDA for Minimax Problems
2022 · arXiv (Cornell University)
Stochastic gradient descent ascent (SGDA) and its variants have been the workhorse for solving minimax problems. However, in contrast to the well-studied stochastic gradient descent (SGD) with differential privacy (DP) constraints, there is little work …
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Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI
2024 · arXiv (Cornell University)
The widespread adoption of large language models (LLMs) and generative AI (GenAI) tools across diverse applications has amplified the importance of addressing societal biases inherent within these technologies. While the NLP community has extensively studied …