Bang Wu

Orcid: 0009-0001-0204-7246

According to our database1, Bang Wu authored at least 29 papers between 2018 and 2024.

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Bibliography

2024
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends.
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.
CoRR, 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

Trace-agnostic and Adversarial Training-resilient Website Fingerprinting Defense.
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
DeepWE: A Deep Bayesian Active Learning Waypoint Estimator for Indoor Walkers.
IEEE Internet Things J., June, 2023

Resisting DNN-Based Website Fingerprinting Attacks Enhanced by Adversarial Training.
IEEE Trans. Inf. Forensics Secur., 2023

Defeating Misclassification Attacks Against Transfer Learning.
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
Wi-Fi RTT Ranging Performance Characterization and Positioning System Design.
IEEE Trans. Mob. Comput., 2022

Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge.
IEEE Trans. Inf. Forensics Secur., 2022

Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation.
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

Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks.
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

Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization.
CoRR, 2020

The IPIN 2019 Indoor Localisation Competition - Description and Results.
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

Defending Against Misclassification Attacks in Transfer Learning.
CoRR, 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

Device-Free, Activity During Daily Life, Recognition Using a Low-Cost Lidar.
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


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