default search action
Sizhe Chen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j8]Sizhe Chen
, Zhehao Huang
Query Attack by Multi-Identity Surrogates. IEEE Trans. Artif. Intell. 5(2): 684-697 (2024) - [c15]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 - [c14]Shouhong Wan, Sizhe Chen, Xiaoting Li, Peiquan Jin:
An Instance and Cloud Masks Guided Multi-source Fusion Network for Remote Sensing Object Detection. PRICAI (3) 2024: 271-283 - [i19]Sizhe Chen, Julien Piet, Chawin Sitawarin, David A. Wagner:
StruQ: Defending Against Prompt Injection with Structured Queries. CoRR abs/2402.06363 (2024) - [i18]Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, Chuan Guo:
Aligning LLMs to Be Robust Against Prompt Injection. CoRR abs/2410.05451 (2024) - 2023
- [j7]Zhilong Li, Ziti Jiao
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
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
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
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
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
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
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
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
Target Classification Using the Deep Convolutional Networks for SAR Images. IEEE Trans. Geosci. Remote. Sens. 54(8): 4806-4817 (2016) - 2015
- [c2]Haipeng Wang
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-08 01:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: