Bang Wu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation.
Proceedings of the ACM on Web Conference 2025, 2025
Automated Mass Malware Factory: The Convergence of Piggybacking and Adversarial Example in Android Malicious Software Generation.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025
2024
Proc. IEEE, February, 2024
High-Sensitivity and Wide-Range Flexible Ionic Piezocapacitive Pressure Sensors with Porous Hemisphere Array Electrodes.
Sensors, January, 2024
DeFiGuard: A Price Manipulation Detection Service in DeFi Using Graph Neural Networks.
IEEE Trans. Serv. Comput., 2024
Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks.
CoRR, 2024
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024
Proceedings of the IEEE INFOCOM 2024, 2024
A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
2023
IEEE Internet Things J., June, 2023
IEEE Trans. Inf. Forensics Secur., 2023
IEEE Trans. Dependable Secur. Comput., 2023
Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information.
Proceedings of the 32nd USENIX Security Symposium, 2023
Toward Evaluating the Robustness of Deep Learning Based Rain Removal Algorithm in Autonomous Driving.
Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop, 2023
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
2022
IEEE Trans. Mob. Comput., 2022
IEEE Trans. Inf. Forensics Secur., 2022
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
2021
An Adaptive Human Activity-Aided Hand-Held Smartphone-Based Pedestrian Dead Reckoning Positioning System.
Remote. Sens., 2021
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A Method for the Estimation of Finely-Grained Temporal Spatial Human Population Density Distributions Based on Cell Phone Call Detail Records.
Remote. Sens., 2020
CoRR, 2020
IEEE Access, 2020
2019
A WiFi RSSI ranking fingerprint positioning system and its application to indoor activities of daily living recognition.
Int. J. Distributed Sens. Networks, 2019
2018
An efficient wireless access point selection algorithm for location determination based on RSSI interval overlap degree determination.
Proceedings of the 2018 Wireless Telecommunications Symposium, 2018
Proceedings of the IEEE Global Communications Conference, 2018
WiFi Fingerprint Based, Indoor, Location-Driven Activities of Daily Living Recognition.
Proceedings of the 5th International Conference on Behavioral, 2018