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2020 – today
- 2024
[j1]Shufang Zhang
, Minxue Ni, Shuai Chen, Lei Wang, Wenxin Ding, Yuhong Liu:
A Two-Stage Personalized Virtual Try-On Framework With Shape Control and Texture Guidance. IEEE Trans. Multim. 26: 10225-10236 (2024)- [c8]Wenxin Ding, Cathy Y. Li, Shawn Shan, Ben Y. Zhao, Hai-Tao Zheng:
Understanding Implosion in Text-to-Image Generative Models. CCS 2024: 1211-1225 - [c7]Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao Zheng:
Towards Scalable and Robust Model Versioning. SaTML 2024: 592-611 - [c6]Shawn Shan, Wenxin Ding, Josephine Passananti, Stanley Wu, Haitao Zheng, Ben Y. Zhao:
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models. SP 2024: 807-825 - [i8]Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao Zheng:
Towards Scalable and Robust Model Versioning. CoRR abs/2401.09574 (2024) - [i7]Wenxin Ding, Cathy Y. Li, Shawn Shan, Ben Y. Zhao, Haitao Zheng:
Understanding Implosion in Text-to-Image Generative Models. CoRR abs/2409.12314 (2024) - 2023
- [c5]Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Heather Zheng, Ben Zhao, Prateek Mittal:
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker. NeurIPS 2023 - [i6]Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Ben Y. Zhao, Haitao Zheng, Prateek Mittal:
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker. CoRR abs/2302.10722 (2023) - [i5]Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao:
Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models. CoRR abs/2310.13828 (2023) - [i4]Shufang Zhang, Minxue Ni, Lei Wang, Wenxin Ding, Shuai Chen, Yuhong Liu:
A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidance. CoRR abs/2312.15480 (2023) - 2022
- [c4]Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao:
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models. CCS 2022: 2611-2625 - [c3]Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah:
Calibration with Privacy in Peer Review. ISIT 2022: 1635-1640 - [i3]Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah:
Calibration with Privacy in Peer Review. CoRR abs/2201.11308 (2022) - [i2]Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao:
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models. CoRR abs/2205.10686 (2022) - 2021
- [c2]Wenxin Ding, Ping An, Xin Liu, Chao Yang, Xinpeng Huang:
No-reference Panoramic Image Quality Assessment based on Adjacent Pixels Correlation. BMSB 2021: 1-5 - 2020
- [i1]Wenxin Ding, Nihar B. Shah, Weina Wang:
On the Privacy-Utility Tradeoff in Peer-Review Data Analysis. CoRR abs/2006.16385 (2020)
2010 – 2019
- 2019
- [c1]Pei Wu, Wenxin Ding, Zhixiang You, Ping An:
Virtual Reality Video Quality Assessment Based on 3d Convolutional Neural Networks. ICIP 2019: 3187-3191
Coauthor Index
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