11 citations · 27 across the 14 of their papers we have counts for
14 papers
When Neutral Summaries are not that Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries
Supriti Vijay, Aman Priyanshu, Ashique R. KhudaBukhsh
In an era where societal narratives are increasingly shaped by algorithmic curation, investigating the political neutrality of LLMs is an important research question. This study pr…
The Silent Curriculum: How Does LLM Monoculture Shape Educational Content and Its Accessibility?
Aman Priyanshu, Supriti Vijay
As Large Language Models (LLMs) ascend in popularity, offering information with unprecedented convenience compared to traditional search engines, we delve into the intriguing possi…
Unified Locational Differential Privacy Framework
Aman Priyanshu, Yash Maurya, Suriya Ganesh +1
Aggregating statistics over geographical regions is important for many applications, such as analyzing income, election results, and disease spread. However, the sensitive nature o…
Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization
Aman Priyanshu, Supriti Vijay, Ayush Kumar +2
LLM-powered chatbots are becoming widely adopted in applications such as healthcare, personal assistants, industry hiring decisions, etc. In many of these cases, chatbots are fed s…
#maskUp: Selective Attribute Encryption for Sensitive Vocalization for English language on Social Media Platforms
Supriti Vijay, Aman Priyanshu
Social media has become a platform for people to stand up and raise their voices against social and criminal acts. Vocalization of such information has allowed the investigation an…
AdaptKeyBERT: An Attention-Based approach towards Few-Shot & Zero-Shot Domain Adaptation of KeyBERT
Aman Priyanshu, Supriti Vijay
Keyword extraction has been an important topic for modern natural language processing. With its applications ranging from ontology generation, fact verification in summarized text,…
NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution Shifts
Supriti Vijay, Aman Priyanshu
With increasing applications in areas such as biomedical information extraction pipelines and social media analytics, Named Entity Recognition (NER) has become an indispensable too…
ARLIF-IDS -- Attention augmented Real-Time Isolation Forest Intrusion Detection System
Aman Priyanshu, Sarthak Shastri, Sai Sravan Medicherla
Distributed Denial of Service (DDoS) attack is a malicious attempt to disrupt the normal traffic of a targeted server, service or network by overwhelming the target or its surround…
Interpretability of Fine-grained Classification of Sadness and Depression
Tiasa Singha Roy, Priyam Basu, Aman Priyanshu +1
While sadness is a human emotion that people experience at certain times throughout their lives, inflicting them with emotional disappointment and pain, depression is a longer term…
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…
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…
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…
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…
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…