Control-Flow Integrity at RISC: Attacking RISC-V by Jump-Oriented Programming. (arXiv:2211.16212v1 [cs.CR])
RISC-V is an open instruction set architecture recently developed for embedded real-time systems. To achieve a lasting security on these...
Month: November 2022
Control-Flow Integrity at RISC: Attacking RISC-V by Jump-Oriented Programming. (arXiv:2211.16212v1 [cs.CR])
RISC-V is an open instruction set architecture recently developed for embedded real-time systems. To achieve a lasting security on these...
DCDetector: An IoT terminal vulnerability mining system based on distributed deep ensemble learning under source code representation. (arXiv:2211.16235v1 [cs.CR])
Context: The IoT system infrastructure platform facility vulnerability attack has become the main battlefield of network security attacks. Most of...
DCDetector: An IoT terminal vulnerability mining system based on distributed deep ensemble learning under source code representation. (arXiv:2211.16235v1 [cs.CR])
Context: The IoT system infrastructure platform facility vulnerability attack has become the main battlefield of network security attacks. Most of...
Analysis of Anomalous Behavior in Network Systems Using Deep Reinforcement Learning with CNN Architecture. (arXiv:2211.16304v1 [cs.CR])
In order to gain access to networks, different types of intrusion attacks have been designed, and the attackers are working...
Analysis of Anomalous Behavior in Network Systems Using Deep Reinforcement Learning with CNN Architecture. (arXiv:2211.16304v1 [cs.CR])
In order to gain access to networks, different types of intrusion attacks have been designed, and the attackers are working...
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs. (arXiv:2211.16495v1 [cs.LG])
Graph neural networks (GNNs) have pushed the state-of-the-art (SOTA) for performance in learning and predicting on large-scale data present in...
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs. (arXiv:2211.16495v1 [cs.LG])
Graph neural networks (GNNs) have pushed the state-of-the-art (SOTA) for performance in learning and predicting on large-scale data present in...
MC-GEN:Multi-level Clustering for Private Synthetic Data Generation. (arXiv:2205.14298v2 [cs.LG] UPDATED)
With the development of machine learning and data science, data sharing is very common between companies and research institutes to...
MC-GEN:Multi-level Clustering for Private Synthetic Data Generation. (arXiv:2205.14298v2 [cs.LG] UPDATED)
With the development of machine learning and data science, data sharing is very common between companies and research institutes to...