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ORCIDSizhe Chen
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2020 – today
- 2024
[j8]Sizhe Chen
, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
Query Attack by Multi-Identity Surrogates. IEEE Trans. Artif. Intell. 5(2): 684-697 (2024)- [c14]Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, David A. Wagner:
Jatmo: Prompt Injection Defense by Task-Specific Finetuning. ESORICS (1) 2024: 105-124 - [i18]Sizhe Chen, Julien Piet, Chawin Sitawarin, David A. Wagner:
StruQ: Defending Against Prompt Injection with Structured Queries. CoRR abs/2402.06363 (2024) - 2023
- [j7]Zhilong Li, Ziti Jiao, Chenxia Wang, Siyang Yin, Jing Guo, Yidong Tong, Ge Gao, Zheyou Tan, Sizhe Chen:
Seasonal Effect of the Vegetation Clumping Index on Gross Primary Productivity Estimated by a Two-Leaf Light Use Efficiency Model. Remote. Sens. 15(23): 5537 (2023) - [j6]Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Unifying Gradients to Improve Real-World Robustness for Deep Networks. ACM Trans. Intell. Syst. Technol. 14(6): 101:1-101:16 (2023) - [c13]Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang:
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CVPR Workshops 2023: 2314-2321 - [c12]Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang:
Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. ICASSP 2023: 1-5 - [c11]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. ICLR 2023 - [c10]Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang:
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. ICLR 2023 - [i17]Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang:
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CoRR abs/2302.11963 (2023) - [i16]Norman Mu, Sarah Chen, Zifan Wang, Sizhe Chen, David Karamardian, Lulwa Aljeraisy, Dan Hendrycks, David A. Wagner:
Can LLMs Follow Simple Rules? CoRR abs/2311.04235 (2023) - [i15]Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, David A. Wagner:
Jatmo: Prompt Injection Defense by Task-Specific Finetuning. CoRR abs/2312.17673 (2023) - 2022
- [j5]Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang:
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2188-2197 (2022) - [j4]Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang:
Relevance attack on detectors. Pattern Recognit. 124: 108491 (2022) - [j3]Sizhe Chen, Qingyun Yan, Shuanggen Jin, Weimin Huang, Tiexi Chen, Yan Jia, Shuci Liu, Qing Cao:
Soil Moisture Retrieval from the CyGNSS Data Based on a Bilinear Regression. Remote. Sens. 14(9): 1961 (2022) - [c9]Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Subspace Adversarial Training. CVPR 2022: 13399-13408 - [c8]Mingzhe Li, Sizhe Chen, Xiaolin Huang:
Mutual Diverse-Label Adversarial Training. ICONIP (1) 2022: 64-75 - [c7]Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang:
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. NeurIPS 2022 - [i14]Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang:
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. CoRR abs/2205.12134 (2022) - [i13]Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang:
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks. CoRR abs/2205.12141 (2022) - [i12]Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Unifying Gradients to Improve Real-world Robustness for Deep Networks. CoRR abs/2208.06228 (2022) - [i11]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. CoRR abs/2211.12005 (2022) - 2021
- [c6]Fan He, Sizhe Chen, Shuaiyi Li, Lu Zhou, Haiqin Zhang, Haixia Peng, Xiaolin Huang:
Colonoscopic Image Synthesis For Polyp Detector Enhancement Via Gan And Adversarial Training. ISBI 2021: 1887-1891 - [c5]Sizhe Chen, Daji Ergu, Bo Ma, Ying Cai, Fangyao Liu:
Improvement of AnyNet-based end-to-end phased binocular stereo matching network. ITQM 2021: 1450-1457 - [i10]Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang:
Going Far Boosts Attack Transferability, but Do Not Do It. CoRR abs/2102.10343 (2021) - [i9]Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. CoRR abs/2105.15010 (2021) - [i8]Zhixing Ye, Shaofei Qin, Sizhe Chen, Xiaolin Huang:
Dominant Patterns: Critical Features Hidden in Deep Neural Networks. CoRR abs/2105.15057 (2021) - [i7]Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Subspace Adversarial Training. CoRR abs/2111.12229 (2021) - 2020
- [c4]Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang:
Type I Attack For Generative Models. ICIP 2020: 593-597 - [i6]Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang:
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. CoRR abs/2001.06325 (2020) - [i5]Sizhe Chen, Peidong Zhang, Chengjin Sun, Jia Cai, Xiaolin Huang:
Generate High-Resolution Adversarial Samples by Identifying Effective Features. CoRR abs/2001.07631 (2020) - [i4]Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang:
Type I Attack for Generative Models. CoRR abs/2003.01872 (2020) - [i3]Chengjin Sun, Sizhe Chen, Xiaolin Huang:
Double Backpropagation for Training Autoencoders against Adversarial Attack. CoRR abs/2003.01895 (2020) - [i2]Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang:
Attack on Multi-Node Attention for Object Detection. CoRR abs/2008.06822 (2020)
2010 – 2019
- 2019
- [c3]Peidong Zhang, Sizhe Chen, Jingshi Yao:
A Line Extraction Process Based on Noise Elimination and a Novel Benchmark in Jensen-Shannon Divergence. CIS/RAM 2019: 159-164 - [i1]Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun:
DAmageNet: A Universal Adversarial Dataset. CoRR abs/1912.07160 (2019) - 2018
- [j2]Haipeng Wang, Suo Li, Yu Zhou, Sizhe Chen:
SAR Automatic Target Recognition Using a Roto-Translational Invariant Wavelet-Scattering Convolution Network. Remote. Sens. 10(4): 501 (2018) - 2016
- [j1]Sizhe Chen, Haipeng Wang, Feng Xu, Ya-Qiu Jin:
Target Classification Using the Deep Convolutional Networks for SAR Images. IEEE Trans. Geosci. Remote. Sens. 54(8): 4806-4817 (2016) - 2015
- [c2]Haipeng Wang, Sizhe Chen, Feng Xu, Ya-Qiu Jin:
Application of deep-learning algorithms to MSTAR data. IGARSS 2015: 3743-3745 - 2014
- [c1]Sizhe Chen, Haipeng Wang:
SAR target recognition based on deep learning. DSAA 2014: 541-547
Coauthor Index
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last updated on 2024-09-14 23:52 CEST by the dblp team
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