A/Prof Xingliang Yuan
Associate Professor, Computer Systems
School of Computing and Information Systems
126 Scholarly works
8 Projects
HIGHLIGHTS
2026
Journal article
LEO: An Information-theoretic Learning-based Approach for Identifying Out-of-distribution Source Code in Software Systems
DOI: 10.1145/38176042026
Journal article
Typhon Unleashed: Practical Adversarial Weight Attacks Against On-Device Deep Learning Models
DOI: 10.1109/TDSC.2026.36669792026
Journal article
Adapting Large Language Models for Encrypted Traffic Analysis Services: An Efficient Realization With Mixture of LoRA Experts
DOI: 10.1109/TSC.2026.36714842026
Journal article
Sensitivity-Aware Auditing Service for Differentially Private Databases
DOI: 10.1109/TIFS.2026.36618182025
Research grants (ARC, NHMRC, MRFF)
Understanding and Defeating Leakage Attacks Against Encrypted Databases (Transfer-In) Establishment Grant
2024
Research contracts (non-grants)
Cyber Security Risk Mitigation for Sensor Data Integrity in Operational Systems and Digital Twins
2024
Research Contracts
RAI4IoE: Responsible AI for Enabling the Internet of Energy
RECENT SCHOLARLY WORKS
2026
Book Chapter
SEARCHAIN: Searchable Encryption As Rewarded-Useful-Work on Blockchain
DOI: 10.1007/978-981-95-2961-2_192026
Journal article
Let’s Roll a BiFTA: Bi-refinement for Fine-grained Text-visual Alignment in Vision-Language Models
2026
Journal article
Unfairness Attack and Unified Provable Defense on AI-Powered Internet of Energy
DOI: 10.1109/TIFS.2025.36481922026
Conference Proceedings
Privacy-Preserving Graph Data Deduplication for Deep Graph Learning
DOI: 10.1007/978-981-95-6196-4_162025
Journal article
LAMPS 2025 Chairs Welcome
2025
Conference Proceedings
SPG: Ensuring Structural Privacy in Secure Graph Learning
DOI: 10.1145/3733800.3763263
RECENT PROJECTS
2025
Research grants (ARC, NHMRC, MRFF)
Understanding and Defeating Leakage Attacks Against Encrypted Databases (Transfer-In) Establishment Grant
2026
Research grants (ARC, NHMRC, MRFF)
Secure and Robust Stream Analytics at Scale