21 citations · 37 across the 11 of their papers we have counts for
12 papers
CryptoMask : Privacy-preserving Face Recognition
Jianli Bai, Xiaowu Zhang, Xiangfu Song +4
Face recognition is a widely-used technique for identification or verification, where a verifier checks whether a face image matches anyone stored in a database. However, in scenar…
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
Qifan Wang, Shujie Cui, Lei Zhou +4
Decision tree (DT) is a widely used machine learning model due to its versatility, speed, and interpretability. However, for privacy-sensitive applications, outsourcing DT training…
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain
Zhibo Xing, Zijian Zhang, Meng Li +4
Since the concern of privacy leakage extremely discourages user participation in sharing data, federated learning has gradually become a promising technique for both academia and i…
What You See is Not What You Get: The Role of Email Presentation in Phishing Susceptibility
Sijie Zhuo, Robert Biddle, Lucas Betts +4
Phishing is one of the most prevalent social engineering attacks that targets both organizations and individuals. It is crucial to understand how email presentation impacts users'…
Scalable Private Decision Tree Evaluation with Sublinear Communication
Jianli Bai, Xiangfu Song, Shujie Cui +2
Private decision tree evaluation (PDTE) allows a decision tree holder to run a secure protocol with a feature provider. By running the protocol, the feature provider will learn a c…
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE
Qifan Wang, Shujie Cui, Lei Zhou +3
The classification service over a stream of data is becoming an important offering for cloud providers, but users may encounter obstacles in providing sensitive data due to privacy…
SoK: Human-Centered Phishing Susceptibility
Sijie Zhuo, Robert Biddle, Yun Sing Koh +2
Phishing is recognised as a serious threat to organisations and individuals. While there have been significant technical advances in blocking phishing attacks, people remain the la…
Towards a Theory of Special-purpose Program Obfuscation
Muhammad Rizwan Asghar, Steven Galbraith, Andrea Lanzi +2
Most recent theoretical literature on program obfuscation is based on notions like Virtual Black Box (VBB) obfuscation and indistinguishability Obfuscation (iO). These notions are…
Privacy-preserving Searchable Databases with Controllable Leakage
Shujie Cui, Xiangfu Song, Muhammad Rizwan Asghar +2
Searchable Encryption (SE) is a technique that allows Cloud Service Providers (CSPs) to search over encrypted datasets without learning the content of queries and records. In recen…
A Review of Privacy and Consent Management in Healthcare: A Focus on Emerging Data Sources
Muhammad Rizwan Asghar, TzeHowe Lee, Mirza Mansoor Baig +3
The emergence of New Data Sources (NDS) in healthcare is revolutionising traditional electronic health records in terms of data availability, storage, and access. Increasingly, cli…
ACTORS: A Goal-driven Approach for Capturing and Managing Consent in e-Health Systems
Muhammad Rizwan Asghar, Giovanni Russello
The notion of patient's consent plays a major role in granting access to medical data. In typical healthcare systems, consent is captured by a form that the patient has to fill in…
ESPOON: Enforcing Security Policies In Outsourced Environments
Muhammad Rizwan Asghar, Mihaela Ion, Giovanni Russello +1
Data outsourcing is a growing business model offering services to individuals and enterprises for processing and storing a huge amount of data. It is not only economical but also p…