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- research-articleAugust 2024
Cross-modal learning for optical flow estimation with events
AbstractBenefiting from the low latency and high dynamic range, event cameras have recently been adopted for Optical Flow (OF) prediction under harsh environments with high-speed motion or extreme lighting conditions. However, the emitted events only ...
Highlights- Alleviating the imperfection of events by utilizing the spatiotemporal attention-based module.
- Fully exploiting the cross-modal characteristics between frames and events.
- Designing long-term motion information for global temporal ...
- research-articleJune 2024
FreeEM: Uncovering Parallel Memory EMR Covert Communication in Volatile Environments
- Sihan Yu,
- Jingjing Fu,
- Chenxu Jiang,
- Chunchih Lin,
- Zhenkai Zhang,
- Long Cheng,
- Ming Li,
- Xiaonan Zhang,
- Linke Guo
MOBISYS '24: Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and ServicesPages 372–384https://doi.org/10.1145/3643832.3661870Memory Electromagnetic Radiation (EMR) allows attackers to manipulate the DRAM of infiltrated systems to leak sensitive secret information. Although most of the existing works have demonstrated its feasibility, practical concerns, such as the ideal ...
- research-articleJanuary 2022
Effective Anomaly Detection in Smart Home by Integrating Event Time Intervals
Procedia Computer Science (PROCS), Volume 210, Issue CPages 53–60https://doi.org/10.1016/j.procs.2022.10.119AbstractSmart home IoT systems and devices are susceptible to attacks and malfunctions. As a result, users’ concerns about their security and safety issues arise along with the prevalence of smart home deployments. In a smart home, various anomalies (such ...