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Chao Du
Chao Du
Senior Research Scientist, Sea AI Lab
Verified email at mails.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Improving adversarial robustness via promoting ensemble diversity
T Pang, K Xu, C Du, N Chen, J Zhu
International Conference on Machine Learning, 4970-4979, 2019
5032019
Composite quantization for approximate nearest neighbor search
T Zhang, C Du, J Wang
International Conference on Machine Learning, 838-846, 2014
2662014
Towards robust detection of adversarial examples
T Pang, C Du, Y Dong, J Zhu
Advances in neural information processing systems 31, 2018
2342018
Better diffusion models further improve adversarial training
Z Wang, T Pang, C Du, M Lin, W Liu, S Yan
International Conference on Machine Learning, 36246-36263, 2023
2052023
Rethinking softmax cross-entropy loss for adversarial robustness
T Pang, K Xu, Y Dong, C Du, N Chen, J Zhu
arXiv preprint arXiv:1905.10626, 2019
1982019
On evaluating adversarial robustness of large vision-language models
Y Zhao, T Pang, C Du, X Yang, C Li, NMM Cheung, M Lin
Advances in Neural Information Processing Systems 36, 2024
1492024
Lorahub: Efficient cross-task generalization via dynamic lora composition
C Huang, Q Liu, BY Lin, T Pang, C Du, M Lin
arXiv preprint arXiv:2307.13269, 2023
1252023
A recipe for watermarking diffusion models
Y Zhao, T Pang, C Du, X Yang, NM Cheung, M Lin
arXiv preprint arXiv:2303.10137, 2023
1092023
Max-mahalanobis linear discriminant analysis networks
T Pang, C Du, J Zhu
International Conference on Machine Learning, 4016-4025, 2018
602018
Efficient diffusion policies for offline reinforcement learning
B Kang, X Ma, C Du, T Pang, S Yan
Advances in Neural Information Processing Systems 36, 2024
432024
Collaborative filtering with user-item co-autoregressive models
C Du, C Li, Y Zheng, J Zhu, B Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
412018
Bag of tricks for training data extraction from language models
W Yu, T Pang, Q Liu, C Du, B Kang, Y Huang, M Lin, S Yan
International Conference on Machine Learning, 40306-40320, 2023
402023
Weak-to-strong jailbreaking on large language models
X Zhao, X Yang, T Pang, C Du, L Li, YX Wang, WY Wang
arXiv preprint arXiv:2401.17256, 2024
392024
Agent smith: A single image can jailbreak one million multimodal llm agents exponentially fast
X Gu, X Zheng, T Pang, C Du, Q Liu, Y Wang, J Jiang, M Lin
arXiv preprint arXiv:2402.08567, 2024
302024
On memorization in diffusion models
X Gu, C Du, T Pang, C Li, M Lin, Y Wang
arXiv preprint arXiv:2310.02664, 2023
302023
Finetuning text-to-image diffusion models for fairness
X Shen, C Du, T Pang, M Lin, Y Wong, M Kankanhalli
arXiv preprint arXiv:2311.07604, 2023
292023
Robust deep learning via reverse cross-entropy training and thresholding test
T Pang, C Du, J Zhu
arXiv preprint arXiv:1706.00633 3, 2017
292017
Learning deep generative models with doubly stochastic gradient MCMC
C Du, J Zhu, B Zhang
IEEE transactions on neural networks and learning systems 29 (7), 3084-3096, 2017
26*2017
Exploring incompatible knowledge transfer in few-shot image generation
Y Zhao, C Du, M Abdollahzadeh, T Pang, M Lin, S Yan, NM Cheung
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
242023
Intriguing properties of data attribution on diffusion models
X Zheng, T Pang, C Du, J Jiang, M Lin
arXiv preprint arXiv:2311.00500, 2023
202023
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