| Title |
Privacy and Security Concerns in Generative AI: A Comprehensive Survey |
| ID_Doc |
76881 |
| Authors |
Golda, A; Mekonen, K; Pandey, A; Singh, A; Hassija, V; Chamola, V; Sikdar, B |
| Title |
Privacy and Security Concerns in Generative AI: A Comprehensive Survey |
| Year |
2024 |
| Published |
|
| DOI |
10.1109/ACCESS.2024.3381611 |
| Abstract |
Generative Artificial Intelligence (GAI) has sparked a transformative wave across various domains, including machine learning, healthcare, business, and entertainment, owing to its remarkable ability to generate lifelike data. This comprehensive survey offers a meticulous examination of the privacy and security challenges inherent to GAI. It provides five pivotal perspectives essential for a comprehensive understanding of these intricacies. The paper encompasses discussions on GAI architectures, diverse generative model types, practical applications, and recent advancements within the field. In addition, it highlights current security strategies and proposes sustainable solutions, emphasizing user, developer, institutional, and policymaker involvement. |
| Author Keywords |
Generative artificial intelligence; privacy concerns; security concerns; deep learning; adversarial attacks; synthetic data; Deepfake; ethical implications; cybersecurity; machine learning; privacy protection; ethical responsibility; misinformation; social engineering; regulatory compliance; artificial intelligence; privacy preservation; data security; threat analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001197763200001 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
https://ieeexplore.ieee.org/ielx7/6287639/6514899/10478883.pdf
|