19 citations · 62 across the 19 of their papers we have counts for
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cs.CR2023
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System
Jiwei Guan, Lei Pan, Chen Wang +3
There are increasing concerns about malicious attacks on autonomous vehicles. In particular, inaudible voice command attacks pose a significant threat as voice commands become avai…
cs.CR2021★ 3 cited
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…
cs.CR2020★ 6 cited
Mitigating Sybil Attacks on Differential Privacy based Federated Learning
Yupeng Jiang, Yong Li, Yipeng Zhou +1
In federated learning, machine learning and deep learning models are trained globally on distributed devices. The state-of-the-art privacy-preserving technique in the context of fe…