3 citations · 3 across the 3 of their papers we have counts for
3 papers
SKALD: Scalable K-Anonymisation for Large Datasets
Kailash Reddy, Novoneel Chakraborty, Amogh Dharmavaram +1
Data privacy and anonymisation are critical concerns in today's data-driven society, particularly when handling personal and sensitive user data. Regulatory frameworks worldwide re…
Privacy-Preserving Data Quality Assessment for Time-Series IoT Sensors
Novoneel Chakraborty, Abhay Sharma, Jyotirmoy Dutta +1
Data from Internet of Things (IoT) sensors has emerged as a key contributor to decision-making processes in various domains. However, the quality of the data is crucial to the effe…
Building a Privacy Web with SPIDEr -- Secure Pipeline for Information De-Identification with End-to-End Encryption
Novoneel Chakraborty, Anshoo Tandon, Kailash Reddy +5
Data de-identification makes it possible to glean insights from data while preserving user privacy. The use of Trusted Execution Environments (TEEs) allow for the execution of de-i…