The 2023 IEEE Symposium on Immune Computation (IEEE IComputation 2023) is a part of the IEEE Symposium Series of Computational Intelligence (IEEE SSCI 2023), Mexico City, Mexico, December 5th – 8th, 2023.
Immune Computation is a fast developing research area in the computational intelligence community, inspired by the information processing mechanism of biological immune system. Many of these algorithms are built on solid theoretical foundations, through understanding mathematical models and computational simulation of aspects of the immune system. The scope of this research area ranges from modeling to simulation of the immune system, to the development of novel engineering solutions to complex problems, and bridges several disciplines to provide new insights into immunology, computer science, mathematics and engineering. Especially, the immune system is a complex and intelligent system for protecting the body. Thus the immune system is an outstanding paradigm of the secure intelligent system, while secure intelligence is an important topic in the immune computation field.
The aims of this symposium are: (1) to present the state-of-the-art research on immune computation as well as secure intelligence; (2) to provide a forum to disseminate their recent advances and views on future perspectives in the field; (3) to offer new techniques and models for understanding secure intelligent systems, and (4) to provide a unique event where computer scientists, engineers, immunologists, biologists, physicists, etc., may compare to each other their expertises in an interdisciplinary vision.
Topics
The topics of IEEE IComputation 2023 include three aspects. First, contributions on immune algorithms and applications are very welcome. Second, contributions on modeling biological immune systems are also welcome, but potential uses for developing computationally intelligent systems should be clearly stated. Thirdly, contributions on secure intelligence are also very welcome. Topics of interest include, but are not limited to:
Immune algorithms and applications:
- Immune-based security techniques
- Immune-based privacy protection schemes
- Immune algorithms for optimization
- Immune algorithms for pattern recognition
- Immune algorithms for robotics and control
- Immune algorithms for fault diagnosis
- Novel algorithms and new immune operators
- Theoretical aspects of immune inspired algorithms
- Empirical investigations of immune inspired algorithms
- Hybridization of immune inspired algorithms with other techniques
Modeling of biological immune system:
- Modeling of immune learning and memory
- Modeling of immune system response
- Modeling of immune cells and antibodies
- Modeling of viruses or cancers
- Immune network models
- Self/nonself models
- Systems & synthetic immunology
- Multi-agent based models of immunity
- Security modeling of biological immune system
- Computer simulations of biological immune system
Secure intelligence:
- AI Security
- AI Privacy
- Poisoning attack and defense
- Evasion attacks and defense
- Adversarial examples
- AI backdoors
- Secure learning
- Anomaly and fraud detection
- Network security
- System security
Symposium Chairs
- Wenjian Luo
luowenjian@hit.edu.cn
Harbin Institute of Technology, Shenzhen, China - Mario Pavone
mpavone@dmi.unict.it
University of Catania, Italy - Uwe Aickelin
uwe.aickelin@unimelb.edu.au
The University of Melbourne, Australia - Licheng Jiao
lchjiao@mail.xidian.edu.cn
Xidian University, China