International Conference on Security and Privacy in Digital Economy (SPDE)
Event submitted on Thursday, August 13th 2020, approved by Charles Villanueva ✓
This event has been tagged as follows:
- Artificial Intelligence
- Cloud Security
- Machine Learning
This physical “in-person” conference examines literally every aspect of privacy and security within a wide variety of industries including AI, IoT, and Blockchain.
Conference Event Summary
The following description was either submitted by the Conference Organizer on Thursday, August 13th 2020, or created by us.
We are in the age of the digital economy. Information technology has significantly changed our daily life, including social networks, online shopping, and so on. The dramatic development of new business applications demands new technologies to serve their needs. We have seen unprecedented progress in artificial intelligence, big data, blockchain, to name a few.
However, security and privacy concerns are critical issues in this booming digital economy. The vulnerability and potential threats of the new techniques are yet to be examined, solutions are yet to be tested and confirmed in practice. For example, we need detection method against GAN based attacks, security and privacy problems of federated learning to be identified and fixed, fraud and cheating in digital economy ecosystems need to be detected and solved, there is a lot of unknown in blockchain systems, issues in autopilot cars are to be addressed.
It is believed that the solutions depend on the extensive collaboration between academia and industry, depend on cross-disciplinary efforts from ICT and law, social science, and so on.
The purpose of this conference is to offer a timely venue for researchers and industry partners in the framework of the digital economy to present and discuss their latest results in security and privacy-related work. We focus on the security and privacy issues in the digital economy from the following perspectives, but are not limited to:
- Generative adversarial networks
- Machine learning
- Artificial intelligence
- Differential privacy
- Driverless vehicular systems
- Internet of Things
- Social networks
- Blockchain systems
- Cloud and fog systems
- Threat and vulnerability analysis
- Cryptography systems
- Trust and forensics
- Anonymous communication
- E-health and aged care
- Attacks and countermeasures
- Complex networks
- Security and privacy from Social Science