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20212023
most citedMPInspector: A Systematic and Automatic Approach for Evaluating the Security of IoT Messaging Protocols

13 citations · 31 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CR20231 cited

Facial Data Minimization: Shallow Model as Your Privacy Filter

Yuwen Pu, Jiahao Chen, Jiayu Pan +4

Face recognition service has been used in many fields and brings much convenience to people. However, once the user's facial data is transmitted to a service provider, the user wil…

cs.PL2023

CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code

Tong Ye, Lingfei Wu, Tengfei Ma +5

Automatically generating function summaries for binaries is an extremely valuable but challenging task, since it involves translating the execution behavior and semantics of the lo…

cs.CR2023

SyzTrust: State-aware Fuzzing on Trusted OS Designed for IoT Devices

Qinying Wang, Boyu Chang, Shouling Ji +8

Trusted Execution Environments (TEEs) embedded in IoT devices provide a deployable solution to secure IoT applications at the hardware level. By design, in TEEs, the Trusted Operat…

cs.LG2023

Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction

Yang Wu, Xurui Li, Xuhong Zhang +3

Positive-Unlabeled (PU) Learning is a challenge presented by binary classification problems where there is an abundance of unlabeled data along with a small number of positive data…

cs.CR2023

Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting

Ping He, Yifan Xia, Xuhong Zhang +1

The widespread adoption of the Android operating system has made malicious Android applications an appealing target for attackers. Machine learning-based (ML-based) Android malware…

cs.CV20231 cited

Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection

Chuer Yu, Xuhong Zhang, Yuxuan Duan +5

Despite the fact that DeepFake forgery detection algorithms have achieved impressive performance on known manipulations, they often face disastrous performance degradation when gen…