17 citations · 31 across the 8 of their papers we have counts for
4 papers · 1 filter
MVAM: Multi-variant Attacks on Memory for IoT Trust Computing
Arup Kumar Sarker, Md Khairul Islam, Yuan Tian
With the significant development of the Internet of Things and low-cost cloud services, the sensory and data processing requirements of IoT systems are continually going up. TrustZ…
ML-FEED: Machine Learning Framework for Efficient Exploit Detection
Tanujay Saha, Tamjid Al-Rahat, Najwa Aaraj +2
Machine learning (ML)-based methods have recently become attractive for detecting security vulnerability exploits. Unfortunately, state-of-the-art ML models like long short-term me…
One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware
Binbin Zhao, Shouling Ji, Jiacheng Xu +8
Currently, the development of IoT firmware heavily depends on third-party components (TPCs) to improve development efficiency. Nevertheless, TPCs are not secure, and the vulnerabil…
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase
Jianfeng Chi, Emmanuel Owusu, Xuwang Yin +4
We present a practical method for protecting data during the inference phase of deep learning based on bipartite topology threat modeling and an interactive adversarial deep networ…