The 2023 International Workshop on AI-Driven Trustworthy, Secure, and Privacy-Preserving Computing (AidTSP 2023)
Organized in conjunction with
IEEE International Conference on Computer Communications, 17-20 May 2023
CALL FOR PAPERS COMMITTEE SUBMISSIONS PROGRAM
Artiﬁcial intelligence (AI), together with its learning techniques, including machine learning (ML), and deep learning (DL), represents a significant evolution in computer science and data processing that is rapidly changing many industries and profoundly influencing people’s daily lives. AI-driven solutions have already found applications in next-generation computing, communication, and decision-making on the networking paradigms, namely, the Internet of Things (IoT), Cyber-Physical Systems (CPS), Fog/Edge computing, Cloud computing, etc. Such solutions are vastly used in high-stakes applications like industrial automation, healthcare, automotive, energy, business, government, education, and justice, moving us toward a more algorithmic society.
Despite so many greatest benefits, unsecured or unreliable computation, privacy-violating data processing, communication, and inaccurate, faulty, unethical, unfair, or biased decisions in these platforms sometimes directly or indirectly cause harm to the application’s performance, its users, and society. Moreover, an individual’s privacy is significantly threatened by AI-based cyberattacks. The rise of AI-enabled cyberattacks could cause an explosion of networking penetration, personal data theft, malicious traffic data, and epidemic spread of intelligent malware in IoT/CPS/Cloud/Edge/Fog paradigms. Furthermore, AI-driven technologies require a training and testing process, introducing additional problems in securing and protecting training data and algorithms. Many ML/DL models are vulnerable against well-designed adversarial input samples. Distributed sharing data, outsourcing data, and associated algorithms for training require integrity and trustworthiness in the training stage. Furthermore, end-user data privacy and learning models must be protected. Thus, trustworthy, security, and privacy-preserving (TSP) computing in IoT/CPS/Cloud with AI-driven approaches is becoming an issue.
To that end, this workshop aims to create a community and forum for researchers, engineers, and professionals across academia, government, and industries, to exchange ideas, present early results, and provide future visions concerning AI-driven Trustworthy, Secure, and Privacy-Preserving Computing (AidTSP).
Submission Deadline: December 20, 2022
Notification of Acceptance: February 6, 2023
Camera Ready: March 6, 2023
Workshop: May 20, 2023
Submission link: https://edas.info/N30343
Questions can be directed to AidTSPresearch[AT]gmail.com