6 citations · 25 across the 15 of their papers we have counts for
7 papers · 1 filter
Protecting User Prompts Via Character-Level Differential Privacy
Shashie Dilhara Batan Arachchige, Hassan Jameel Asghar, Benjamin Zi Hao Zhao +2
Large Language Models (LLMs) generate responses based on user prompts. Often, these prompts may contain highly sensitive information, including personally identifiable information…
CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs
Shashie Dilhara Batan Arachchige, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +2
Large Language Models (LLMs) are often fine-tuned to adapt their general-purpose knowledge to specific tasks and domains such as cyber threat intelligence (CTI). Fine-tuning is mos…
Integrating PETs into Software Applications: A Game-Based Learning Approach
Maisha Boteju, Thilina Ranbaduge, Dinusha Vatsalan +1
The absence of data protection measures in software applications leads to data breaches, threatening end-user privacy and causing instabilities in organisations that developed thos…
Privacy-Preserving Record Linkage for Cardinality Counting
Nan Wu, Dinusha Vatsalan, Mohamed Ali Kaafar +1
Several applications require counting the number of distinct items in the data, which is known as the cardinality counting problem. Example applications include health applications…
Privacy-preserving Deep Learning based Record Linkage
Thilina Ranbaduge, Dinusha Vatsalan, Ming Ding
Deep learning-based linkage of records across different databases is becoming increasingly useful in data integration and mining applications to discover new insights from multiple…
Fairness and Cost Constrained Privacy-Aware Record Linkage
Nan Wu, Dinusha Vatsalan, Sunny Verma +1
Record linkage algorithms match and link records from different databases that refer to the same real-world entity based on direct and/or quasi-identifiers, such as name, address,…
Privacy Preserving Release of Mobile Sensor Data
Rahat Masood, Wing Yan Cheng, Dinusha Vatsalan +3
Sensors embedded in mobile smart devices can monitor users' activity with high accuracy to provide a variety of services to end-users ranging from precise geolocation, health monit…