Sizhe Chen

According to our database, Sizhe Chen authored at least 32 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Query Attack by Multi-Identity Surrogates.

Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang

IEEE Trans. Artif. Intell., February, 2024

StruQ: Defending Against Prompt Injection with Structured Queries.

Sizhe Chen, Julien Piet, Chawin Sitawarin, David A. Wagner

CoRR, 2024

2023

Unifying Gradients to Improve Real-World Robustness for Deep Networks.

Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang

ACM Trans. Intell. Syst. Technol., December, 2023

Seasonal Effect of the Vegetation Clumping Index on Gross Primary Productivity Estimated by a Two-Leaf Light Use Efficiency Model.

Zhilong Li, Ziti Jiao, Chenxia Wang, Siyang Yin, Jing Guo, Yidong Tong, Ge Gao, Zheyou Tan, Sizhe Chen

Remote. Sens., December, 2023

Jatmo: Prompt Injection Defense by Task-Specific Finetuning.

Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, David A. Wagner

CoRR, 2023

Can LLMs Follow Simple Rules?

Norman Mu, Sarah Chen, Zifan Wang, Sizhe Chen, David Karamardian, Lulwa Aljeraisy, Dan Hendrycks, David A. Wagner

CoRR, 2023

One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks.

Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors.

Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm.

Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang

Proceedings of the IEEE International Conference on Acoustics, 2023

Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective.

Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Soil Moisture Retrieval from the CyGNSS Data Based on a Bilinear Regression.

Sizhe Chen, Qingyun Yan, Shuanggen Jin, Weimin Huang, Tiexi Chen, Yan Jia, Shuci Liu, Qing Cao

Remote. Sens., 2022

Relevance attack on detectors.

Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang

Pattern Recognit., 2022

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet.

Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks.

Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mutual Diverse-Label Adversarial Training.

Mingzhe Li, Sizhe Chen, Xiaolin Huang

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Subspace Adversarial Training.

Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Dominant Patterns: Critical Features Hidden in Deep Neural Networks.

Zhixing Ye, Shaofei Qin, Sizhe Chen, Xiaolin Huang

CoRR, 2021

QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities.

Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang

CoRR, 2021

Going Far Boosts Attack Transferability, but Do Not Do It.

Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang

CoRR, 2021

Improvement of AnyNet-based end-to-end phased binocular stereo matching network.

Sizhe Chen, Daji Ergu, Bo Ma, Ying Cai, Fangyao Liu

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

Colonoscopic Image Synthesis For Polyp Detector Enhancement Via Gan And Adversarial Training.

Fan He, Sizhe Chen, Shuaiyi Li, Lu Zhou, Haiqin Zhang, Haixia Peng, Xiaolin Huang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Attack on Multi-Node Attention for Object Detection.

Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang

CoRR, 2020

Double Backpropagation for Training Autoencoders against Adversarial Attack.

Chengjin Sun, Sizhe Chen, Xiaolin Huang

CoRR, 2020

Generate High-Resolution Adversarial Samples by Identifying Effective Features.

Sizhe Chen, Peidong Zhang, Chengjin Sun, Jia Cai, Xiaolin Huang

CoRR, 2020

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet.

Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang

CoRR, 2020

Type I Attack For Generative Models.

Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

DAmageNet: A Universal Adversarial Dataset.

Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun

CoRR, 2019

A Line Extraction Process Based on Noise Elimination and a Novel Benchmark in Jensen-Shannon Divergence.

Peidong Zhang, Sizhe Chen, Jingshi Yao

Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019

2018

SAR Automatic Target Recognition Using a Roto-Translational Invariant Wavelet-Scattering Convolution Network.

Haipeng Wang, Suo Li, Yu Zhou, Sizhe Chen

Remote. Sens., 2018

2016

Target Classification Using the Deep Convolutional Networks for SAR Images.

Sizhe Chen, Haipeng Wang, Feng Xu, Ya-Qiu Jin

IEEE Trans. Geosci. Remote. Sens., 2016

2015

Application of deep-learning algorithms to MSTAR data.

Haipeng Wang, Sizhe Chen, Feng Xu, Ya-Qiu Jin

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

SAR target recognition based on deep learning.

Sizhe Chen, Haipeng Wang

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014