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Grant: Canada Research Chairs

Queen's University

$70,000.00

Intelligent System Security and Privacy

EF 2024-25

Résumé
As Artificial Intelligence (AI) continues to gain prominence, intelligent systems have been widely developed in multiple domains. However, ensuring security and privacy is paramount when developing intelligent systems. Accompanying the power of AI are potential risks related to data leakage, tampering, and malicious assaults. Adversaries can deliberately confuse or even “poison” AI models to cause malfunctions of intelligent systems. Over the next five years, Dr. Jianbing Ni, as the Tier 2 Canada Research Chair (CRC) in Intelligent System Security and Privacy will lead multi-disciplinary research to build a secure and privacy-preserving ecosystem to protect intelligent systems throughout their data lifecycle. The immediate contributions of this CRC research program is in its design of advanced techniques, including secure and privacy-preserving data gathering, privacy-preserving and robust training, responsible AI model usage, reliable AI-generated content protection, and privacy-preserving and fair machine unlearning for protecting intelligent systems. By integrating the multidisciplinary methodologies in deep learning, cybersecurity, cryptography, social science, and software engineering, these technologies will play a vital role in addressing open research challenges and advancing the state of the art in data security, robust AI, generative AI security, and privacy-enhancing techniques. The broader contribution of Dr. Ni’s proposed research program extends to the development of innovative technologies to enhance the design theory of security and privacy, while also delivering broader value through their applications in securing emerging information and intelligent systems across various domains, such as Industry 4.0, smart healthcare, robotics, surveillance, intelligent transportation, and human identification. This CRC research program aligns with Queen’s Strategic Research Plan and Canada’s National Cyber Security Strategy. It is original and highly innovative. Students and trainees will benefit from high-quality training and mentoring opportunities in a unique multidisciplinary environment that is of international renown and that practices and promotes I-EDIAA (Indigenization - Equity, Diversity, Inclusion, Anti-Racism, and Accessibility). Through the outcomes of the proposed research and the training the chair facilitates, the impact of the proposed CRC will be long-lasting and significant locally, provincially, and nationally.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
CRC-2023-00332
Name nom
Ni, Jianbing
Department département
Department of Electrical and Computer Engineering - Queen's University
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
70000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF2030203
Field of research list names en
Digital communications
Field of research list names fr
Communications numériques
Socioeconomic objective list codes
RDS10610
Socioeconomic objective list names en
Information systems, technologies and services
Socioeconomic objective list names fr
Systèmes, technologies et services d'information
Application title
Intelligent System Security and Privacy
Keywords
Privacy; Intelligent systems; Network security; Secure data analytics; Machine learning security; Robust artificial intelligence; Data security; AI-generated content protection
Application summary
As Artificial Intelligence (AI) continues to gain prominence, intelligent systems have been widely developed in multiple domains. However, ensuring security and privacy is paramount when developing intelligent systems. Accompanying the power of AI are potential risks related to data leakage, tampering, and malicious assaults. Adversaries can deliberately confuse or even “poison” AI models to cause malfunctions of intelligent systems. Over the next five years, Dr. Jianbing Ni, as the Tier 2 Canada Research Chair (CRC) in Intelligent System Security and Privacy will lead multi-disciplinary research to build a secure and privacy-preserving ecosystem to protect intelligent systems throughout their data lifecycle. The immediate contributions of this CRC research program is in its design of advanced techniques, including secure and privacy-preserving data gathering, privacy-preserving and robust training, responsible AI model usage, reliable AI-generated content protection, and privacy-preserving and fair machine unlearning for protecting intelligent systems. By integrating the multidisciplinary methodologies in deep learning, cybersecurity, cryptography, social science, and software engineering, these technologies will play a vital role in addressing open research challenges and advancing the state of the art in data security, robust AI, generative AI security, and privacy-enhancing techniques. The broader contribution of Dr. Ni’s proposed research program extends to the development of innovative technologies to enhance the design theory of security and privacy, while also delivering broader value through their applications in securing emerging information and intelligent systems across various domains, such as Industry 4.0, smart healthcare, robotics, surveillance, intelligent transportation, and human identification. This CRC research program aligns with Queen’s Strategic Research Plan and Canada’s National Cyber Security Strategy. It is original and highly innovative. Students and trainees will benefit from high-quality training and mentoring opportunities in a unique multidisciplinary environment that is of international renown and that practices and promotes I-EDIAA (Indigenization - Equity, Diversity, Inclusion, Anti-Racism, and Accessibility). Through the outcomes of the proposed research and the training the chair facilitates, the impact of the proposed CRC will be long-lasting and significant locally, provincially, and nationally.