Tue, 26 Aug 2025 (Ballroom 3)
Time (GMT+7)	Event
13:50 - 14:00	Poster Preparation at the Ballroom 3
14:00 - 14:10	Open Remark
14:10 - 15:00	Keynote 1: Reproducible Research Is Both Hard and Helpful: A Case Study of Privacy-Preserving Machine Learning Speaker: Prof. Baochun Li (University of Toronto)	Session Chair: Xingliang Yuan (University of Melbourne)
15:00 - 15:10	PETA: Privacy Enabled Testing for AI using PETs Imtiyazuddin Shaik, Phani Sai Uppu, Divyesh Saglani, Rajan M A, Srividhya Sankepally, Sitarama Brahmam Gunturi
15:10 - 15:20	Architectural Impact on Adversarial Robustness: A Comparative Causal Study of VMs and VLMs Kei Suzuki, Yasuaki Susumu, Jia Qu, Shotaro Miwa
15:20 - 15:30	Reducing Communication Overhead in Federated Learning using Deep Reinforcement Learning Van Tong, Lam Tran, Hung Pham, Tung Bui, Duc Tran
15:30 - 15:50	Coffee Break
15:50 - 16:40	Keynote 2: SIGuard: Guarding Secure Inference with Post Data Privacy Speaker: Dr. Maggie Liu (RMIT University)	Session Chair: Viet Vo (Swinburne University)
16:40 - 16:50	Adversarial Patch Robustness against Occlusion: A case study VNiklas Bunzel, Erik Gelbing
16:50 - 17:00	Multi-Feature Hybrid Anomaly Detection in ICS: An Integration of ML, DL, and Statistical Techniques Muhammad Muzamil Aslam, Ali Tufail, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong
17:00 - 17:30	Poster Discussion
17:30 - 17:40	Closing Remark