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Jiaru Zhang
Jiaru Zhang
Verified email at sjtu.edu.cn - Homepage
Title
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Year
Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples
C Liang, X Wu, Y Hua, J Zhang, Y Xue, T Song, Z Xue, R Ma, H Guan
ICML 2023, 2023
962023
Improving Bayesian Neural Networks by Adversarial Sampling
J Zhang, Y Hua, T Song, H Wang, Z Xue, R Ma, H Guan
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10110 …, 2022
132022
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization
J Zhang, Y Hua, Z Xue, T Song, C Zheng, R Ma, H Guan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
102021
Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data
J Zhang, R Ma, T Song, Y Hua, Z Xue, C Guan, H Guan
ACM/IMS Transactions on Data Science (TDS) 2 (4), 1-15, 2022
42022
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
X Wu, Y Hua, C Liang, J Zhang, H Wang, T Song, H Guan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
32024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)
P Ma, R Ding, Q Fu, J Zhang, S Wang, S Han, D Zhang
22024
Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data
X Wu, J Zhang, S Wu
arXiv preprint arXiv:2410.03039, 2024
2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
P Ma, R Ding, Q Fu, J Zhang, S Wang, S Han, D Zhang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
2024
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks
X Wu, J Zhang, Y Hua, B Lyu, H Wang, T Song, H Guan
arXiv preprint arXiv:2405.19931, 2024
2024
Information Bound and Its Applications in Bayesian Neural Networks
J Zhang, Y Hua, T Song, H Wang, Z Xue, R Ma, H Guan
European Conference on Artificial Intelligence, 2023
2023
Learning Identifiable Causal Structures with Pairwise Representation
J Zhang, R Ding, Q Fu, Y Hua, H Guan, S Han, D Zhang
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