Követés
Shengfang Zhai
Shengfang Zhai
E-mail megerősítve itt: stu.pku.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Text-to-image diffusion models can be easily backdoored through multimodal data poisoning
S Zhai, Y Dong, Q Shen, S Pu, Y Fang, H Su
Proceedings of the 31st ACM International Conference on Multimedia, 1577-1587, 2023
222023
Kallima: A Clean-Label Framework for Textual Backdoor Attacks
X Chen, Y Dong, Z Sun, S Zhai, Q Shen, Z Wu
European Symposium on Research in Computer Security, 447-466, 2022
162022
NCL: Textual Backdoor Defense Using Noise-Augmented Contrastive Learning
S Zhai, Q Shen, X Chen, W Wang, C Li, Y Fang, Z Wu
ICASSP 2023, 1-5, 2023
52023
Automated Extraction of ABAC Policies from Natural-Language Documents in Healthcare Systems
Y Xia, S Zhai, Q Wang, H Hou, Z Wu, Q Shen
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022
32022
Discovering Universal Semantic Triggers for Text-to-Image Synthesis
S Zhai, W Wang, J Li, Y Dong, H Su, Q Shen
arXiv preprint arXiv:2402.07562, 2024
12024
Apple of sodom: Hidden backdoors in superior sentence embeddings via contrastive learning
X Chen, B Xin, S Zhai, S Ma, Q Shen, Z Wu
arXiv preprint arXiv:2210.11082, 2022
12022
Security Equivalence Assessment between Cloud Standards by Mapping of Control Items
Y Wong, C Yan, S Zhai, C Li, Q Shen
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
L Xie, C Li, X Zhang, S Zhai, Y Fang, Q Shen, Z Wu
arXiv preprint arXiv:2401.05431, 2024
2024
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning
Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su,
MM '23: Proceedings of the 31st ACM International Conference on Multimedia …, 2023
2023
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