2025 3rd International Conference on Artificial Intelligence Security and Privacy (AIS&P 2025) were successfully held on December 5-7, 2025 in Guangzhou, China. AIS&P 2025 successfully created an enabling platform for innovative academics, engineers, and industry experts in the fieldsof Artificial Intelligence Security and Privacy. Participants exchanged pioneering ideas and showcased their latest research findings, fostering an environment rich in collaboration and inspiration.
The conference is scheduled to begin at 9:00 a.m., and end at around 12:30 p.m., including 3 keynote speeches and 5 Oral Reports. Each keynote speech is about 35 minutes, and after each speech, there will be a Q&A session. And each Oral Report is about 10 minutes.
Keynote Speeches
Keynote Speaker 1: Prof. Qiao Yan Shenzhen University, China Speech Title: Vanishing Privacy: Fast Gradient Leakage Threat to Federated Learning | |
 Keynote Speaker 2: Assoc. Prof. Shaowei Wang Guangzhou University, China Speech Title: Privacy Preserving Combinatorial Optimization and Data Contribution Estimation | |
Keynote Speaker 3: Prof. Thippa Reddy Gadekallu Zhejiang A&F University, China Speech Title: Federated Learning for Big Data- Opportunities, Applications, and Future Directions |
Oral Presentations
Oral Speaker 1: Zenghui Wang, University of South Africa Speech Title: Towards Trustworthy Imbalanced IDS: Balancing Calibration, Adaptation, and Oversampling |
Oral Speaker 2: Yanxia Sun, University of Johannesburg Speech Title:Integrating Large Language Models with IDS for Analyst-Guided Automated Threat Response |
Oral Speaker 3: Donglin Xie, School of Software, East China University of Technology Speech Title: How Can We Build Trustworthy AI Today? |
Jing Cao, School of Artificial Intelligence, Jianghan University Speech Title: Application of a Linear Programming-Driven Multi- Algorithm Integration Framework in Optimizing Crop Planting Strategies |
Oral Speaker 5 (Online): Mingxing Yin, Nanjing University of Aeronautics and Astronautics Speech Title: SLAB: Stealthy Deep Reinforcement Learning Backdoor Attack with Latent Space Trigger | |
AIS&P 2025 provided an international collaborative platform for sharing research results and exploring innovative technologies. The conference ended successfully amid a lively atmosphere!
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