TY - GEN
T1 - An Overview of the ICASSP Special Session on AI Security and Privacy in Speech and Audio Processing
AU - Ren, Zhao
AU - Qian, Kun
AU - Schultz, Tanja
AU - Schuller, Björn W.
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2023/12/6
Y1 - 2023/12/6
N2 - Perceiving and producing speech and audio signals are the basic ways for humans to communicate with each other and know about the world. Benefiting from the advancement of Big Data, signal processing, and Artificial Intelligence (AI), intelligent machines have been rapidly developed to process speech and audio signals for assisting human life. Deep learning has been demonstrated to achieve excellent performance based on large amounts of data streams. In the meanwhile, the problems of security vulnerability and privacy leakage appear along with the booming technologies. Systems with security and privacy problems can expose users’ personal information to danger and cause users’ distrust. To facilitate technology development in tackling the aforementioned issues, the special session on “AI security and privacy in speech and audio processing" was organised at ICASSP 2023. In this study, we provide a comprehensive overview of the invited high-quality contributions at the special session. We further discuss the current research challenges, and point out potential avenues for future works. This work is expected to summarise the research advancements and inspire more innovative studies in this area.
AB - Perceiving and producing speech and audio signals are the basic ways for humans to communicate with each other and know about the world. Benefiting from the advancement of Big Data, signal processing, and Artificial Intelligence (AI), intelligent machines have been rapidly developed to process speech and audio signals for assisting human life. Deep learning has been demonstrated to achieve excellent performance based on large amounts of data streams. In the meanwhile, the problems of security vulnerability and privacy leakage appear along with the booming technologies. Systems with security and privacy problems can expose users’ personal information to danger and cause users’ distrust. To facilitate technology development in tackling the aforementioned issues, the special session on “AI security and privacy in speech and audio processing" was organised at ICASSP 2023. In this study, we provide a comprehensive overview of the invited high-quality contributions at the special session. We further discuss the current research challenges, and point out potential avenues for future works. This work is expected to summarise the research advancements and inspire more innovative studies in this area.
KW - Artificial Intelligence
KW - Big Data
KW - Privacy
KW - Security
KW - Speech and Audio Processing
UR - https://www.scopus.com/pages/publications/85182927823
U2 - 10.1145/3611380.3628563
DO - 10.1145/3611380.3628563
M3 - Conference contribution
AN - SCOPUS:85182927823
T3 - Proceedings of the 5th ACM International Conference on Multimedia in Asia, MMAsia 2023 Workshops
BT - Proceedings of the 5th ACM International Conference on Multimedia in Asia, MMAsia 2023 Workshops
PB - Association for Computing Machinery, Inc
T2 - 5th ACM International Conference on Multimedia in Asia, MMAsia 2023 Workshops
Y2 - 6 December 2023 through 8 December 2023
ER -