6 papers
BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media
MSVPJ Sathvik, Parmitha Vangapandu, Nishit Rane +3
The promotion of betting applications on social media platforms has increased significantly in recent years. Many of these advertisements use persuasive techniques that may mislead…
RSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotations
Parmitha Vangapandu, Sai Ganesh Mokkapati, Sathwik Narkedimilli +4
In NLP, mental health conditions are often modeled as isolated phenomena, without interpersonal context. We use Reddit posts about long-distance relationships to capture both menta…
M-HELP: Using Social Media Data to Detect Mental Health Help-Seeking Signals
MSVPJ Sathvik, Zuhair Hasan Shaik, Vivek Gupta
Mental health disorders are a global crisis. While various datasets exist for detecting such disorders, there remains a critical gap in identifying individuals actively seeking hel…
REDDIX-NET: A Novel Dataset and Benchmark for Moderating Online Explicit Services
MSVPJ Sathvik, Manan Roy Choudhury, Rishita Agarwal +2
The rise of online platforms has enabled covert illicit activities, including online prostitution, to pose challenges for detection and regulation. In this study, we introduce REDD…
Enhancing IoT Network Security through Adaptive Curriculum Learning and XAI
Sathwik Narkedimilli, Sujith Makam, Amballa Venkata Sriram +3
To address the critical need for secure IoT networks, this study presents a scalable and lightweight curriculum learning framework enhanced with Explainable AI (XAI) techniques, in…
FAPL-DM-BC: A Secure and Scalable FL Framework with Adaptive Privacy and Dynamic Masking, Blockchain, and XAI for the IoVs
Sathwik Narkedimilli, Amballa Venkata Sriram, Sujith Makam +2
The FAPL-DM-BC solution is a new FL-based privacy, security, and scalability solution for the Internet of Vehicles (IoV). It leverages Federated Adaptive Privacy-Aware Learning (FA…