Követés
Jing Xu
Jing Xu
Postdoctoral researcher, CISPA
E-mail megerősítve itt: cispa.de - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Explainability-based backdoor attacks against graph neural networks
J Xu, M Xue, S Picek
Proceedings of the 3rd ACM Workshop on Wireless Security and Machine …, 2021
772021
Can you hear it? backdoor attacks via ultrasonic triggers
S Koffas, J Xu, M Conti, S Picek
Proceedings of the 2022 ACM workshop on wireless security and machine …, 2022
742022
Watermarking graph neural networks based on backdoor attacks
J Xu, S Koffas, O Ersoy, S Picek
2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), 1179-1197, 2023
392023
A multi-sensor information fusion method based on factor graph for integrated navigation system
J Xu, G Yang, Y Sun, S Picek
IEEE Access 9, 12044-12054, 2021
342021
Poster: Clean-label Backdoor Attack on Graph Neural Networks
J Xu, S Picek
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022
292022
More is better (mostly): On the backdoor attacks in federated graph neural networks
J Xu, R Wang, K Liang, S Picek
arXiv preprint arXiv:2202.03195, 2022
292022
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks
M Conti, J Li, S Picek, J Xu
Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security …, 2022
262022
Rethinking the trigger-injecting position in graph backdoor attack
J Xu, G Abad, S Picek
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
82023
Coin Recognition Method Based on SIFT Algorithm
J Xu, G Yang, Y Liu, J Zhong
2017 4th International Conference on Information Science and Control …, 2017
82017
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
G Abad, J Xu, S Koffas, B Tajalli, S Picek, M Conti
arXiv preprint arXiv:2302.01740, 2023
72023
Poster: Multi-target & Multi-trigger Backdoor Attacks on Graph Neural Networks
J Xu, S Picek
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
42023
Unveiling the Threat: Investigating Distributed and Centralized Backdoor Attacks in Federated Graph Neural Networks
J Xu, S Koffas, S Picek
Digital Threats: Research and Practice 5 (2), 1-29, 2024
32024
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data
B Pleiter, B Tajalli, S Koffas, G Abad, J Xu, M Larson, S Picek
arXiv preprint arXiv:2311.07550, 2023
32023
A Systematic Evaluation of Backdoor Attacks in Various Domains
S Koffas, B Tajalli, J Xu, M Conti, S Picek
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use …, 2023
12023
Backdoor Attacks against Transformer-based Neural Networks for Tabular Data
B Pleiter, B Tajalli, S Koffas, G Abad, J Xu, M Larson, S Picek
MS thesis, Dept. Computing Science, Radboud Univ., Nijmegen, The Netherlands, 2023
12023
Initial alignment of strapdown inertial navigation system with the aid of Doppler velocity log
J Zhong, G Yang, Y Liu, J Xu
2017 4th International Conference on Information Science and Control …, 2017
12017
Connecting the dots: Exploring backdoor attacks on graph neural networks
J Xu
TU Delft, 2024
2024
BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks
M Arazzi, M Conti, S Koffas, M Krcek, A Nocera, S Picek, J Xu
arXiv preprint arXiv:2308.02465, 2023
2023
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–18