8 papers
Privacy Technologies for Financial Intelligence
Yang Li, Thilina Ranbaduge, Kee Siong Ng
Financial crimes like money laundering and terrorism financing can have significant impacts on society, including loss of trust in the integrity of the financial system, misuse and…
Enhancing DPSGD via Per-Sample Momentum and Low-Pass Filtering
Xincheng Xu, Thilina Ranbaduge, Qing Wang +2
Differentially Private Stochastic Gradient Descent (DPSGD) is widely used to train deep neural networks with formal privacy guarantees. However, the addition of differential privac…
Embedding based Encoding Scheme for Privacy Preserving Record Linkage
Sirintra Vaiwsri, Thilina Ranbaduge
To discover new insights from data, there is a growing need to share information that is often held by different organisations. One key task in data integration is the calculation…
From Detection to Correction: Backdoor-Resilient Face Recognition via Vision-Language Trigger Detection and Noise-Based Neutralization
Farah Wahida, M. A. P. Chamikara, Yashothara Shanmugarasa +3
Biometric systems, such as face recognition systems powered by deep neural networks (DNNs), rely on large and highly sensitive datasets. Backdoor attacks can subvert these systems…
From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways
Mengmeng Yang, Youyang Qu, Thilina Ranbaduge +12
The vision for 6G aims to enhance network capabilities with faster data rates, near-zero latency, and higher capacity, supporting more connected devices and seamless experiences wi…
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…