19 citations · 62 across the 19 of their papers we have counts for
4 papers · 1 filter
OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS
Guangquan Xu, GuoHua Xin, Litao Jiao +4
With the growing popularity of Android devices, Android malware is seriously threatening the safety of users. Although such threats can be detected by deep learning as a service (D…
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses
Yao Deng, Tiehua Zhang, Guannan Lou +3
The rapid development of artificial intelligence, especially deep learning technology, has advanced autonomous driving systems (ADSs) by providing precise control decisions to coun…
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Chenhao Xu, Jiaqi Ge, Yong Li +5
Federated learning (FL) enables collaborative training of a shared model on edge devices while maintaining data privacy. FL is effective when dealing with independent and identical…
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling
Shangming Cai, Dongsheng Wang, Haixia Wang +4
To reduce uploading bandwidth and address privacy concerns, deep learning at the network edge has been an emerging topic. Typically, edge devices collaboratively train a shared mod…