Despite its enormous potential, the widespread adoption of artificial intelligence (AI) raises concerns about data privacy, adversarial threats, and the potential misuse of autonomous systems. This session aims to explore the research and practical solutions addressing security and privacy challenges in AI, as well as the ethical implications of AI security and privacy, with a focus on promoting trust and accountability in AI systems. As AI systems become more and more integrated into critical infrastructure and applications, safeguarding these systems and the privacy of the data they process will be crucial for the field's continued growth.We invite prospective authors to submit original research contributions on topics including, but not limited to, the following:
Topics (Including but not limited to)
- 1. Security Frameworks for AI AI安全框架
- 2. Adversarial Attacks and Defenses for AI AI对抗性攻击与防御
- 3. AI-driven Privacy Attacks AI驱动的隐私攻击
- 4. Privacy-preserving for AI AI隐私保护
- 5. Model Explainability and Interpretability in AI AI模型的可解释性与可理解性
- 6. Ethical Considerations in AI Security AI安全中的伦理问题
- 7. Governance and Regulation for AI AI治理与监管
- 8. AI for Cybersecurity AI在网络安全中的应用
Chair: Assoc. Prof. Bai Yang, Chengdu University of Information Science and Technology, China
Yang Bai received her B.Eng. degree in Information Security from Southwest Jiaotong University, Chengdu, China, in 2010. She then went on to obtain a Master's degree in Information and Communication Engineering and a PhD in Cybersecurity from the University of Electronic Science and Technology of China in 2013 and 2022, respectively.
Dr. Bai is currently an Associate Professor in the School of Cybersecurity at Chengdu University of Information Technology, Chengdu, China. She is a senior member of the China Computer Federation (CCF) and a member of IEEE. Dr. Bai also serves as the Assistant to the Chairman of the Sichuan Cyberspace Security Association, the Secretary General of the Specialized Committee on Data Security within the Association, and the leader of the Data Security Group Standard Working Group. Her research interests focus on AI security and privacy, data governance, and data security.
Co-chair: Assoc. Prof. Lijuan Zhang, Nanjing University of Aeronautics and Astronautics, China
Lijuan Zhang received the B.Eng. degree in information security from the University of Southwest Jiaotong University, Chengdu, China, in 2010, and the Ph.D. degree in electronic engineering from James Cook University, Cairns, QLD, Australia, in 2018.
She is currently an Associate Professor with the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. Her research interests include cooperative control of UAV swarms, reinforcement learning algorithms, IoT networks.
Co-chair: Assoc. Prof. Die Wu, Sichuan Normal University, China
Dr. Dié Wu is currently an Associate Professor in College of Computer Science, Sichuan Normal University. Before serving as a faculty, he obtained his PhD degree in Computer Architecture and BEng degree in Information Security from University of Electronic Science and Technology of China in 2018 and 2011, respectively, where he was supervised by Prof. Li Lu and Prof. Fengli Zhang. During the period from 2016 to 2017, he was a visiting student at the School of Computer Science and Engineering in Nanyang Technological University, under the advisement of Prof. Mo Li. He is now leading the WireLess SensIng and NEtworking Systems (LINES) research group. He is the executive member of CCF Technical Committee of Embedded Systems, and maintains membership in CCF, IEEE, and ACM. His research interests focuses on the Internet of Things, particularly in wireless sensing and networking, backscatter communication, intermittent computing, energy harvesting, and ultra-low-power embedded systems.
※ Important Dates | 重要日期
|
※ Submission Guideline / 投稿指南Template Download: Formatting.doc (文章模板下载) Please log in the
Submission System; ( .pdf only) to submit your full paper and abstract. |