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20212024
most citedAre Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization

11 citations · 27 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.AI2021

ExCode-Mixed: Explainable Approaches towards Sentiment Analysis on Code-Mixed Data using BERT models

Aman Priyanshu, Aleti Vardhan, Sudarshan Sivakumar +2

The increasing use of social media sites in countries like India has given rise to large volumes of code-mixed data. Sentiment analysis of this data can provide integral insights i…

cs.LG2021

Efficient Hyperparameter Optimization for Differentially Private Deep Learning

Aman Priyanshu, Rakshit Naidu, Fatemehsadat Mireshghallah +1

Tuning the hyperparameters in the differentially private stochastic gradient descent (DPSGD) is a fundamental challenge. Unlike the typical SGD, private datasets cannot be used man…

cs.CV2021★ 2 cited

When Differential Privacy Meets Interpretability: A Case Study

Rakshit Naidu, Aman Priyanshu, Aadith Kumar +3

Given the increase in the use of personal data for training Deep Neural Networks (DNNs) in tasks such as medical imaging and diagnosis, differentially private training of DNNs is s…

cs.DC2021★ 4 cited

FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic

Aman Priyanshu, Rakshit Naidu

The amount of data, manpower and capital required to understand, evaluate and agree on a group of symptoms for the elementary prognosis of pandemic diseases is enormous. In this pa…

cs.LG2021★ 1 cited

Continual Distributed Learning for Crisis Management

Aman Priyanshu, Mudit Sinha, Shreyans Mehta

Social media platforms such as Twitter, Facebook etc can be utilised as an important source of information during disaster events. This information can be used for disaster respons…