Security of Deep Learning Methodologies: Challenges and Opportunities
Despite the plethora of studies about security vulnerabilities and defenses of deep learning models, security aspects of deep learning methodologies, such as transfer learning, have been rarely studied. In this article, we highlight the security challenges and research opportunities of these methodologies, focusing on vulnerabilities and attacks unique to them.
Code (0)
등록된 구현이 없습니다.
Tasks
Deep LearningTransfer LearningSimilar Papers 제목 키워드 기반
A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities
In this study, we conduct a comprehensive review of smart grid security, exploring system architectures, attack methodologies, defense strategies, and future research opportunities. We provide an in-depth analysis of var…
Artificial Intelligence Ethics Education in Cybersecurity: Challenges and Opportunities: a focus group report
The emergence of AI tools in cybersecurity creates many opportunities and uncertainties. A focus group with advanced graduate students in cybersecurity revealed the potential depth and breadth of the challenges and oppor…
DiversityEthicsLLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges
The integration of Large Language Models (LLMs) into Electronic Design Automation (EDA) and hardware security is rapidly reshaping the semiconductor industry. While LLMs offer unprecedented capabilities in generating Reg…
Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions
Large Language Models (LLMs) have revolutionized various fields with their exceptional capabilities in understanding, processing, and generating human-like text. This paper investigates the potential of LLMs in advancing…
Network Intrusion DetectionChallenges and Opportunities for Beyond-5G Wireless Security
The demand for broadband wireless access is driving research and standardization of 5G and beyond-5G wireless systems. In this paper, we aim to identify emerging security challenges for these wireless systems and pose mu…