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Journal Articles
- 2021
[j2]Yidao Ji
, Chenan Wang, Wei Wu:
Mode-Dependent Event-Triggered Fault Detection for Nonlinear Semi-Markov Jump Systems With Quantization: Application to Robotic Manipulator. IEEE Access 9: 21832-21842 (2021)- [j1]Yidao Ji, Hang Fu, Chenan Wang, Wei Wu:
Mode-dependent guaranteed cost event-triggered synchronization for singular semi-markov jump neural networks with time delays. Neurocomputing 464: 265-272 (2021)
Conference and Workshop Papers
- 2024
- [c5]Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu:
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models. ACL (1) 2024: 5050-5063 - [c4]Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu:
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CVPR 2024: 24398-24407 - 2023
- [c3]Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu:
Semantic Adversarial Attacks via Diffusion Models. BMVC 2023: 271 - 2022
- [c2]Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. WACV (Workshops) 2022: 645-655 - 2018
- [c1]Junli Wang, Haixiong Wang, Chenan Wang:
Design method of rolling force sensor based on object orientation. ISBDAI 2018: 119-123
Informal and Other Publications
- 2024
- [i7]Chenan Wang, Pu Zhao, Siyue Wang, Xue Lin:
Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning. CoRR abs/2401.16766 (2024) - 2023
- [i6]Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen:
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation. CoRR abs/2306.01902 (2023) - [i5]Jinhao Duan, Hao Cheng, Shiqi Wang, Chenan Wang, Alex Zavalny, Renjing Xu, Bhavya Kailkhura, Kaidi Xu:
Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models. CoRR abs/2307.01379 (2023) - [i4]Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu:
Semantic Adversarial Attacks via Diffusion Models. CoRR abs/2309.07398 (2023) - [i3]Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhangp Zidong Dup Qi Guo, Xing Hu:
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CoRR abs/2312.00084 (2023) - [i2]Amirhosein Chahe, Chenan Wang, Abhishek Jeyapratap, Kaidi Xu, Lifeng Zhou:
Dynamic Adversarial Attacks on Autonomous Driving Systems. CoRR abs/2312.06701 (2023) - 2021
- [i1]Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. CoRR abs/2104.10586 (2021)
Coauthor Index
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