Stealing Links from Graph Neural Networks X He, J Jia, M Backes, NZ Gong, Y Zhang USENIX Security Symposium, 2021 | 141 | 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 | 106 | 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 | 88 | 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 | 87 | 2018 |
Model Stealing Attacks Against Inductive Graph Neural Networks Y Shen, X He, Y Han, Y Zhang IEEE Symposium on Security and Privacy, 2021 | 59 | 2021 |
Mgtbench: Benchmarking machine-generated text detection X He, X Shen, Z Chen, M Backes, Y Zhang arXiv preprint arXiv:2303.14822, 2023 | 54 | 2023 |
Quantifying and Mitigating Privacy Risks of Contrastive Learning X He, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021 | 53 | 2021 |
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 | 48 | 2023 |
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 | 47 | 2022 |
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 | 35 | 2021 |
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 | 26 | 2022 |
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 | 25 | 2023 |
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 | 25 | 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 | 19 | 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 | 19 | 2021 |
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 | 18 | 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 | 18 | 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 | 16 | 2023 |
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 | 16 | 2022 |
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning X He, H Liu, NZ Gong, Y Zhang European Conference on Computer Vision (ECCV), 2022 | 13 | 2022 |