Diffusion-based adversarial sample generation for improved stealthiness and controllability H Xue, A Araujo, B Hu, Y Chen NeurIPS 2023, 2023 | 23 | 2023 |
Evaluation of Attribution Explanations without Ground Truth H Zhang, H Xue, J Chen, Y Chen, W Shen, Q Zhang openreview submission, 2022 | 13* | 2022 |
A Hypothesis for the Aesthetic Appreciation in Neural Networks X Cheng, X Wang, H Xue, Z Liang, Q Zhang arXiv preprint arXiv:2108.02646, 2021 | 7 | 2021 |
Toward Effective Protection Against Diffusion Based Mimicry Through Score Distillation H Xue, C Liang, X Wu, Y Chen ICLR 2024, 2023 | 6 | 2023 |
3D-IntPhys: towards more generalized 3D-grounded visual intuitive physics under challenging scenes H Xue, A Torralba, J Tenenbaum, D Yamins, Y Li, HY Tung NeurIPS 2023, 2023 | 3 | 2023 |
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think H Xue, Y Chen arXiv preprint arXiv:2404.13320, 2024 | 2 | 2024 |
Syntax-guided Localized Self-attention by Constituency Syntactic Distance S Hou*, J Kai*, H Xue*, B Zhu, B Yuan, L Huang, X Wang, Z Lin EMNLP 2022 Findings, 2022 | 2 | 2022 |
Towards a unified evaluation of explanation methods without ground truth, 2019 H Zhang, J Chen, H Xue, Q Zhang arXiv preprint arXiv:1911.09017, 2019 | 2 | 2019 |
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control A Mete, H Xue, A Wilcox, Y Chen, A Garg arXiv preprint arXiv:2407.15840, 2024 | | 2024 |
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies Y Chen*, H Xue*, Y Chen arXiv preprint arXiv:2405.19424, 2024 | | 2024 |
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance J Fan, H Xue, Q Zhang, Y Chen arXiv preprint arXiv:2405.17661, 2024 | | 2024 |