PhD Researcher · Casual Academic · UTS CybeR Lab

Delong Li

I study machine unlearning, agentic AI security, privacy-aware inference, and auditable model updates, with a focus on how adaptive AI systems can change without compromising trust.

PhD student · SEMBE, UTS Casual Academic · FEIT

Research updates

Recent publications, open-source releases, and research milestones.

Preprint

SoK: Agentic Skills

A systematization of reusable skills beyond tool use in LLM agents.

Explore
Open source

Academic Paper Skills

A four-skill Codex bundle for policy, writing, figures and tables, and review.

GitHub
Journal

AuditableLLM published in Electronics

A hash-chain-backed framework for compliance-aware LLM update auditing.

Publisher
Latest 3 updates Publications · Open source · Research

Research focus

I examine how AI systems can be updated, deployed, and evaluated under real-world security, privacy, and governance constraints.

Research perspective

AI systems should be able to change without becoming harder to trust.

My work brings together machine unlearning, privacy-aware inference, agentic security, and auditable model updates. I develop methods and evaluations that make system changes easier to inspect, explain, and govern.

01

Verifiable updates

Develop model adaptation and unlearning methods whose effects can be traced and evaluated.

02

Privacy in practice

Design federated and edge-cloud inference methods for practical privacy and deployment constraints.

03

Evidence-based trust

Assess system behavior through security analysis, empirical evaluation, and audit evidence.

Publications

Selected work on machine unlearning, agentic AI security, privacy-aware inference, and auditable model updates.

Browse publications 4 publications
Featured publications 2 featured
Additional publications By year
2026 2 publications

AuditableLLM: A Hash-Chain-Backed, Compliance-Aware Auditable Framework for Large Language Models

Delong Li, Guangsheng Yu, Xu Wang, Bin Liang

Auditability LLM updates
Electronics Publisher

Semantic Neighbor Swapping for Privacy-Aware Edge-Cloud Inference

Delong Li, Baihe Ma, Yanna Jiang, Chen Li, Xuelei Qi, Xu Wang, Feifan Wang, Bin Liang, Guangsheng Yu

Privacy Edge-cloud
Journal of Cloud Computing Publisher

Projects and research tools

Open-source tools and reusable resources for research, academic writing, and evaluation.

Project index Actively maintained
01
Codex skill Maintained

Paper Visualization

A reusable skill for turning paper PDFs, preprint pages, or source workspaces into readable static research visualizations.

Research and collaboration

Get in touch

I welcome conversations and collaborations on machine unlearning, agentic AI security, privacy-aware inference, and auditable AI.

Machine unlearning Agentic security Auditable AI