| Stealing Links from Graph Neural Networks X He, J Jia, M Backes, NZ Gong, Y Zhang USENIX Security Symposium, 2021 | 162 | 2021 |
| ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Y Liu, R Wen, X He, A Salem, Z Zhang, M Backes, E De Cristofaro, M Fritz, ... USENIX Security Symposium, 2021 | 129 | 2021 |
| Node-level membership inference attacks against graph neural networks X He, R Wen, Y Wu, M Backes, Y Shen, Y Zhang arXiv preprint arXiv:2102.05429, 2021 | 108 | 2021 |
| DeepScan: Exploiting deep learning for malicious account detection in location-based social networks Q Gong, Y Chen, X He, Z Zhuang, T Wang, H Huang, X Wang, X Fu IEEE Communications Magazine 56 (11), 21-27, 2018 | 89 | 2018 |
| MGTBench: Benchmarking Machine-generated Text Detection X He, X Shen, Z Chen, M Backes, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2024 | 71 | 2024 |
| Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models Y Qu, X Shen, X He, M Backes, S Zannettou, Y Zhang Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 67 | 2023 |
| Model Stealing Attacks Against Inductive Graph Neural Networks Y Shen, X He, Y Han, Y Zhang IEEE Symposium on Security and Privacy, 2021 | 65 | 2021 |
| SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders T Cong, X He, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022 | 55 | 2022 |
| Quantifying and Mitigating Privacy Risks of Contrastive Learning X He, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021 | 55 | 2021 |
| DatingSec: Detecting malicious accounts in dating apps using a content-based attention network X He, Q Gong, Y Chen, Y Zhang, X Wang, X Fu IEEE Transactions on Dependable and Secure Computing 18 (5), 2193-2208, 2021 | 40 | 2021 |
| Data poisoning attacks against multimodal encoders Z Yang, X He, Z Li, M Backes, M Humbert, P Berrang, Y Zhang International Conference on Machine Learning, 39299-39313, 2023 | 34 | 2023 |
| You only prompt once: On the capabilities of prompt learning on large language models to tackle toxic content X He, S Zannettou, Y Shen, Y Zhang IEEE Symposium on Security and Privacy, 2023 | 31 | 2023 |
| Auditing Membership Leakages of Multi-Exit Networks Z Li, Y Liu, X He, N Yu, M Backes, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022 | 31 | 2022 |
| Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders Z Sha, X He, N Yu, M Backes, Y Zhang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 30 | 2022 |
| Membership-doctor: Comprehensive assessment of membership inference against machine learning models X He, Z Li, W Xu, C Cornelius, Y Zhang arXiv preprint arXiv:2208.10445, 2022 | 25 | 2022 |
| On the evolution of (hateful) memes by means of multimodal contrastive learning Y Qu, X He, S Pierson, M Backes, Y Zhang, S Zannettou 2023 IEEE Symposium on Security and Privacy (SP), 293-310, 2023 | 23 | 2023 |
| Fine-tuning is all you need to mitigate backdoor attacks Z Sha, X He, P Berrang, M Humbert, Y Zhang arXiv preprint arXiv:2212.09067, 2022 | 22 | 2022 |
| Cross-site prediction on social influence for cold-start users in online social networks Q Gong, Y Chen, X He, Y Xiao, P Hui, X Wang, X Fu ACM Transactions on the Web (TWEB) 15 (2), 1-23, 2021 | 21 | 2021 |
| On Xing Tian and the Perseverance of Anti-China Sentiment Online X Shen, X He, M Backes, J Blackburn, S Zannettou, Y Zhang Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 18 | 2022 |
| Generative watermarking against unauthorized subject-driven image synthesis Y Ma, Z Zhao, X He, Z Li, M Backes, Y Zhang arXiv preprint arXiv:2306.07754, 2023 | 17 | 2023 |
Yang ZhangFaculty at CISPA Helmholtz Center for Information SecurityVerified email at cispa.de
