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TULIP-Lab Open Projects

• This series of projects was originally established as the assignments and capstone projects for elite class students, the coursework research projects for master students or honours students, in some top Australiasia universities, including Deakin University, Manipal Institute of Technology, Melbourne Institute of Technology, Indian Institute of Technology Kharagpur, Southeast University, University of Chinese Academy of Sciences, Nanjing University of Science and Technology, Vellor Institute of Technology, SRM Institute of Science & Technology etc. (since 2012).
• Without explicit agreement, you are not allowed to distribute this package.
• If you found any issue/bug for this site, please submit an issue at tulip-lab/open-projects:
• Pull requests are welcome:
• Point of Contact 👉 : Prof. Gang Li

Prepared by 🌷 TULIP Lab

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💡 Content

The purpose of this series of open projects is to help solve a cutting-edge AI or Security & Privacy project using (but not limited to) modern methods. Each project is designed to:

• help you get experience in following cutting edge research and writing academic report;
• help you gain hands-on experience in solving real research projects.

📒 Coursework Research Projects

The following projects are recommended as:

• Research topics for master by coursework students
• You are expected to discuss with your supervisor on those topics, and if necessary, make an appointment to meet with Prof. Gang Li.

🔬 ID	📒 Project Name	📁 Category	🎯 Technical Challenges	👨‍🏫 Research Challenges
1️⃣	📖 Intrusion Detection via Semantic Drift Attribution	Intrusion Detection	⭐⭐⭐⭐	⭐⭐⭐⭐⭐
2️⃣	📖 Behavioral Profiling for Abnormal DNS Traffic Detection	DNS Security	⭐⭐⭐	⭐⭐⭐⭐
3️⃣	📖 Detection of Encrypted DNS Traffic (DoH / DoT)	DNS Security	⭐⭐⭐⭐	⭐⭐⭐
4️⃣	📖 Abnormal DNS Traffic Detection (Clear-text DNS)	DNS Security	⭐⭐	⭐⭐⭐
5️⃣	📖 Clean-Label Backdoor Attack in Image Classification	Backdoor Attacks	⭐⭐⭐	⭐⭐⭐
6️⃣	📖 Physical Backdoor Attack in Lane Detection	Backdoor Attacks	⭐⭐⭐⭐	⭐⭐⭐
7️⃣	📖 Object Detection Backdoor Attacks	Backdoor Attacks	⭐⭐⭐⭐	⭐⭐⭐⭐
8️⃣	📖 Backdoor Attacks in Continual Learning	Backdoor Attacks	⭐⭐⭐⭐⭐	⭐⭐⭐⭐⭐
9️⃣	📖 Poisoning Attacks in Continual Learning	Poisoning Attacks	⭐⭐⭐⭐	⭐⭐⭐⭐⭐
1️⃣0️⃣	📖 Data-free Universal Adversarial Perturbations	Adversarial Examples	⭐⭐⭐	⭐⭐⭐
1️⃣1️⃣	📖 Adversarial Example Attacks in Continual Learning	Adversarial Examples	⭐⭐⭐⭐	⭐⭐⭐⭐
1️⃣2️⃣	📖 Safety-Critical Scenario Generation via Adversarial RL	Autonomous Driving Safety	⭐⭐⭐⭐⭐	⭐⭐⭐⭐⭐
1️⃣3️⃣	📖 Generalizable Backdoor Attacks in Reinforcement Learning	Model Extraction	⭐⭐⭐⭐	⭐⭐⭐⭐
1️⃣4️⃣	📖 Model Stealing Attacks in Reinforcement Learning	Model Extraction	⭐⭐⭐⭐	⭐⭐⭐⭐

📒 Assignment Projects

The following projects are recommended as:

• assignments of coursework units/subjects for elite class students
• capstone projects (SIT374 and SIT378) for Bachelor and Master by coursework students

You are free to choose any project from the recommended lists. Most of those can be considered as assignments, typically, for which you are required to:

• implement the project as required, maintain your own GitHub repository.
• complete a report on your method (with adequate justification), your discovery, empirical evaluation and analysis.
• deliver and publish (via services such as YouTube) a demonstration on your project.

More detailed requirements for assignments, please follow their corresponding units/subjects' requirements.

🔬 ID	📒 Project Name	🎯 Technical Challenges	👨‍🏫 Research Challenges
1️⃣	📖 Tourism Demand Forecasting Web Service	⭐⭐⭐⭐	⭐⭐
2️⃣	📖 Photo-based Attendance System	⭐⭐⭐⭐	⭐⭐⭐
3️⃣	📖 Fur-seal Face Recognition	⭐⭐⭐	⭐⭐⭐⭐⭐
4️⃣	📖 Abnormal DNS Traffic Detection	⭐	⭐⭐⭐⭐
5️⃣	📖 ZTA Architecture	⭐⭐⭐	⭐⭐⭐⭐

📒 NEXUS Projects

NEXUS projects are established for the NEXUS research training program, supervised by TULIP-Lab members. The following projects are recommended as:

• Stage 1️⃣ - research projects compatible with Deakin's SIT723 unit
• Stage 2️⃣ - research projects compatible with Deakin's SIT724 unit
• Stage 3️⃣ - research projects compatible with Honours projects

The presentation 📊 about NEXUS project can be accessed from here (best PDF view using Full Screen mode) with handouts.

Every project has its own specific requirements, which can be accessed from the corresponding project pages.

🔬 ID	📒 Project Name	🎯 Technical Challenges	👨‍🏫 Research Challenges
1️⃣	📖 Tourism Demand Forecasting	⭐⭐	⭐⭐
2️⃣	📖 Tabular Data Generation	⭐⭐	⭐⭐⭐⭐
3️⃣	📖 Privacy Attack in Reinforcement Learning	⭐⭐⭐	⭐⭐⭐
4️⃣	📖 Security of Deep Learning Models	⭐⭐⭐	⭐⭐
5️⃣	📖 Data Distillation	⭐⭐⭐	⭐⭐⭐⭐
6️⃣	📖 Label Distribution Learning	⭐⭐	⭐⭐⭐
7️⃣	📖 Topological Data Analysis	⭐⭐⭐	⭐⭐⭐⭐⭐
8️⃣	📖 Time Series Anomaly Detection	⭐⭐⭐	⭐⭐⭐⭐
9️⃣	📖 Trajectory Planning of UAVs	⭐⭐⭐⭐	⭐⭐⭐⭐
🔟	📖 Quantum Machine Learning	⭐⭐⭐	⭐⭐⭐⭐