Chenan Wang
According to our database1,
Chenan Wang
authored at least 13 papers
between 2018 and 2024.
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Bibliography
2024
Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning.
CoRR, 2024
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
CoRR, 2023
Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models.
CoRR, 2023
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.
CoRR, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022
2021
Mode-dependent guaranteed cost event-triggered synchronization for singular semi-markov jump neural networks with time delays.
Neurocomputing, 2021
CoRR, 2021
Mode-Dependent Event-Triggered Fault Detection for Nonlinear Semi-Markov Jump Systems With Quantization: Application to Robotic Manipulator.
IEEE Access, 2021
2018
Proceedings of the International Symposium on Big Data and Artificial Intelligence, 2018