5 papers
Teaching Usable Privacy in HCI Education: Designing, Implementing, and Evaluating an Active Learning Graduate Course
Sanchari Das, Dhiman Goswami, Michelle Melo +2
As digital systems increasingly rely on pervasive data collection and inference, educating future designers and researchers about Usable Privacy has become a critical need for HCI.…
SoK: Analysis of Privacy Risks and Mitigation in Online Propaganda Detection through the PROMPT Framework
Dhiman Goswami, Al Nahian Bin Emran, Md Hasan Ullah Sadi +1
Online propaganda detection pipelines expose measurable privacy risks at multiple stages including data collection, feature extraction, and model inference. We conduct a structured…
Poster: Privacy-Preserving Compliance Checks on Ethereum via Selective Disclosure
Supriya Khadka, Dhiman Goswami, Sanchari Das
Digital identity verification often forces a privacy trade-off, where users must disclose sensitive personal data to prove simple eligibility criteria. As blockchain applications i…
NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Survey
Dhiman Goswami, Jai Kruthunz Naveen Kumar, Sanchari Das
Natural Language Processing (NLP) is integral to social media analytics but often processes content containing Personally Identifiable Information (PII), behavioral cues, and metad…
TRIDENT -- A Three-Tier Privacy-Preserving Propaganda Detection Model in Mobile Networks using Transformers, Adversarial Learning, and Differential Privacy
Al Nahian Bin Emran, Dhiman Goswami, Md Hasan Ullah Sadi +1
The proliferation of propaganda on mobile platforms raises critical concerns around detection accuracy and user privacy. To address this, we propose TRIDENT - a three-tier propagan…