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Chaoning Zhang
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Publications
- 2024
- [j10]Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon:
Towards Understanding Dual BN In Hybrid Adversarial Training. Trans. Mach. Learn. Res. 2024 (2024) - [i55]Chenshuang Zhang, Chaoning Zhang
, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon:
Towards Understanding Dual BN In Hybrid Adversarial Training. CoRR abs/2403.19150 (2024) - 2023
- [j4]Junha Song
, Kwanyong Park
, Inkyu Shin
, Sanghyun Woo
, Chaoning Zhang
, In So Kweon
:
Test-Time Adaptation in the Dynamic World With Compound Domain Knowledge Management. IEEE Robotics Autom. Lett. 8(11): 7583-7590 (2023) - [c25]Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, In So Kweon:
A Survey on Masked Autoencoder for Visual Self-supervised Learning. IJCAI 2023: 6805-6813 - [c24]Chaoning Zhang
, Philipp Benz
, Adil Karjauv
, In So Kweon
, Choong Seon Hong
:
Simple Techniques are Sufficient for Boosting Adversarial Transferability. ACM Multimedia 2023: 8486-8494 - [i50]Chenshuang Zhang, Chaoning Zhang
, Mengchun Zhang, In So Kweon:
Text-to-image Diffusion Models in Generative AI: A Survey. CoRR abs/2303.07909 (2023) - [i49]Chaoning Zhang
, Chenshuang Zhang, Sheng Zheng, Yu Qiao
, Chenghao Li, Mengchun Zhang, Sumit Kumar Dam, Chu Myaet Thwal, Ye Lin Tun
, Le Luang Huy, Dong Uk Kim, Sung-Ho Bae, Lik-Hang Lee, Yang Yang, Heng Tao Shen, In So Kweon, Choong Seon Hong:
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? CoRR abs/2303.11717 (2023) - [i48]Chenshuang Zhang, Chaoning Zhang
, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon:
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI. CoRR abs/2303.13336 (2023) - [i45]Chaoning Zhang
, Chenshuang Zhang, Chenghao Li, Yu Qiao
, Sheng Zheng, Sumit Kumar Dam, Mengchun Zhang, Jung Uk Kim, Seong Tae Kim, Jinwoo Choi, Gyeong-Moon Park, Sung-Ho Bae, Lik-Hang Lee, Pan Hui, In So Kweon, Choong Seon Hong:
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. CoRR abs/2304.06488 (2023) - [i42]Chenshuang Zhang, Chaoning Zhang
, Taegoo Kang, Donghun Kim, Sung-Ho Bae, In So Kweon:
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples. CoRR abs/2305.00866 (2023) - 2022
- [j1]Axi Niu
, Yu Zhu
, Chaoning Zhang
, Jinqiu Sun
, Pei Wang, In So Kweon
, Yanning Zhang
:
MS2Net: Multi-Scale and Multi-Stage Feature Fusion for Blurred Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5137-5150 (2022) - [c22]Chaoning Zhang
, Kang Zhang, Trung X. Pham
, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CVPR 2022: 14421-14430 - [c21]Chaoning Zhang
, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon:
Investigating Top-k White-Box and Transferable Black-box Attack. CVPR 2022: 15064-15073 - [c20]Chaoning Zhang
, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon:
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. ECCV (30) 2022: 725-742 - [c19]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham
, Chang D. Yoo, In So Kweon:
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. ICLR 2022 - [i24]Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon:
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. CoRR abs/2202.05488 (2022) - [i22]Chaoning Zhang
, Kang Zhang, Chenshuang Zhang, Trung X. Pham
, Chang D. Yoo, In So Kweon:
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. CoRR abs/2203.16262 (2022) - [i21]Chaoning Zhang
, Kang Zhang, Trung X. Pham
, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CoRR abs/2203.17248 (2022) - [i20]Chaoning Zhang
, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon:
Investigating Top-k White-Box and Transferable Black-box Attack. CoRR abs/2204.00089 (2022) - [i19]Chaoning Zhang
, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon:
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. CoRR abs/2207.10899 (2022) - [i18]Chaoning Zhang
, Chenshuang Zhang, Junha Song, John Seon Keun Yi, Kang Zhang, In So Kweon:
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond. CoRR abs/2208.00173 (2022) - 2021
- [c18]Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon:
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective. AAAI 2021: 3296-3304 - [c17]Philipp Benz, Soomin Ham, Chaoning Zhang, Adil Karjauv, In So Kweon:
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs. BMVC 2021: 25 - [c16]Dawit Mureja Argaw, Junsik Kim, François Rameau
, Chaoning Zhang
, In So Kweon:
Restoration of Video Frames From a Single Blurred Image With Motion Understanding. CVPR Workshops 2021: 701-710 - [c15]Philipp Benz, Chaoning Zhang
, In So Kweon:
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective. ICCV 2021: 7798-7807 - [c14]Chaoning Zhang
, Philipp Benz, Adil Karjauv, In So Kweon:
Data-free Universal Adversarial Perturbation and Black-box Attack. ICCV 2021: 7848-7857 - [c13]Philipp Benz, Chaoning Zhang
, Adil Karjauv, In So Kweon:
Universal Adversarial Training with Class-Wise Perturbations. ICME 2021: 1-6 - [c12]Adil Karjauv, Sanzhar Bakhtiyarov, Chaoning Zhang
, Jean-Charles Bazin, In So Kweon:
Motionsnap: A Motion Sensor-Based Approach for Automatic Capture and Editing of Photos and Videos on Smartphones. ICME 2021: 1-6 - [c11]Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon:
A Survey on Universal Adversarial Attack. IJCAI 2021: 4687-4694 - [c10]Chaoning Zhang
, Adil Karjauv, Philipp Benz, In So Kweon:
Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking. ACM Multimedia 2021: 5158-5166 - [c9]Philipp Benz, Chaoning Zhang
, Adil Karjauv, In So Kweon:
Revisiting Batch Normalization for Improving Corruption Robustness. WACV 2021: 494-503 - [c8]Chaoning Zhang
, Philipp Benz, Dawit Mureja Argaw, Seokju Lee
, Junsik Kim, François Rameau
, Jean-Charles Bazin, In So Kweon:
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. WACV 2021: 3549-3558 - [i16]Chaoning Zhang, Adil Karjauv, Philipp Benz, In So Kweon:
Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach. CoRR abs/2101.00973 (2021) - [i15]Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon:
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective. CoRR abs/2102.06479 (2021) - [i14]Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon:
A Survey On Universal Adversarial Attack. CoRR abs/2103.01498 (2021) - [i13]Chaoning Zhang, Chenguo Lin, Philipp Benz, Kejiang Chen, Weiming Zhang, In So Kweon:
A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking. CoRR abs/2103.01607 (2021) - [i12]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Universal Adversarial Training with Class-Wise Perturbations. CoRR abs/2104.03000 (2021) - [i11]Dawit Mureja Argaw, Junsik Kim, François Rameau, Chaoning Zhang, In So Kweon:
Restoration of Video Frames from a Single Blurred Image with Motion Understanding. CoRR abs/2104.09134 (2021) - [i10]Philipp Benz, Soomin Ham, Chaoning Zhang, Adil Karjauv, In So Kweon:
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs. CoRR abs/2110.02797 (2021) - 2020
- [c7]Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon:
CD-UAP: Class Discriminative Universal Adversarial Perturbation. AAAI 2020: 6754-6761 - [c6]Philipp Benz, Chaoning Zhang
, Tooba Imtiaz, In So Kweon:
Double Targeted Universal Adversarial Perturbations. ACCV (4) 2020: 284-300 - [c5]Chaoning Zhang
, Philipp Benz, Tooba Imtiaz, In So Kweon:
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations. CVPR 2020: 14509-14518 - [c4]Chaoning Zhang, Philipp Benz, Adil Karjauv, Geng Sun, In So Kweon:
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. NeurIPS 2020 - [c3]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy. Preregister@NeurIPS 2020: 325-342 - [c2]Chaoning Zhang
, François Rameau
, Junsik Kim, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon:
DeepPTZ: Deep Self-Calibration for PTZ Cameras. WACV 2020: 1030-1038 - [i8]Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon:
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations. CoRR abs/2007.06189 (2020) - [i7]Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In-So Kweon:
Data from Model: Extracting Data from Non-robust and Robust Models. CoRR abs/2007.06196 (2020) - [i6]Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon:
Double Targeted Universal Adversarial Perturbations. CoRR abs/2010.03288 (2020) - [i5]Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon:
CD-UAP: Class Discriminative Universal Adversarial Perturbation. CoRR abs/2010.03300 (2020) - [i4]Philipp Benz, Chaoning Zhang, In So Kweon:
Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features. CoRR abs/2010.03316 (2020) - [i3]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Revisiting Batch Normalization for Improving Corruption Robustness. CoRR abs/2010.03630 (2020) - [i2]Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon:
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. CoRR abs/2010.12496 (2020) - [i1]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy. CoRR abs/2010.13365 (2020) - 2019
- [c1]Chaoning Zhang, François Rameau, Seokju Lee, Junsik Kim, Philipp Benz, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon:
Revisiting Residual Networks with Nonlinear Shortcuts. BMVC 2019: 12

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