Browse "EE-Conference Papers(학술회의논문)" by Author Zhang, Chaoning
Showing results 1 to 18 of 18
| Backpropagating Smoothly Improves Transferability of Adversarial Examples Zhang, Chaoning; Benz, Philipp; Cho, Gyusang; Karjauv, Adil; Ham, Soomin; Youn, Chan-Hyun; Kweon, In-So, Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (AML-CV), Computer Vision Foundation (CVF), IEEE Computer Society, 2021-06-19 |
| Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective Benz, Philipp; Zhang, Chaoning; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.7798 - 7807, IEEE Computer Society, 2021-10-17 |
| CD-UAP: Class Discriminative Universal Adversarial Perturbation Zhang, Chaoning; Benz, Philipp; Imtiaz, Tooba; Kweon, In-So, 34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.6754 - 6761, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2020-02 |
| Data-free Universal Adversarial Perturbation and Black-box Attack Zhang, Chaoning; Benz, Philipp; Karjauv, Adil; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.7848 - 7857, IEEE Computer Society, 2021-10-17 |
| Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness Zhang, Chaoning; Zhang, Kang; Zhang, Chenshuang; Niu, Axi; Feng, Jiu; Yoo, Chang D.; Kweon, In-So, European Conference on Computer Vision, ECCV 2022, pp.725 - 742, Springer Nature Switzerland, 2022-10 |
| DeepPTZ: Deep Self-Calibration for PTZ Cameras Zhang, Chaoning; Rameau, Francois; Kim, Junsik; Argaw, Dawit Mureja; Bazin, Jean-Charles; Kweon, In-So, IEEE Winter Conference on Applications of Computer Vision, WACV 2020, pp.1030 - 1038, Winter Conference on Applications of Computer Vision, 2020-03 |
| Double Targeted Universal Adversarial Perturbations Benz, Philipp; Zhang, Chaoning; Imtiaz, Tooba; Kweon, In-So, 15th Asian Conference on Computer Vision, ACCV 2020, pp.284 - 300, Springer Science and Business Media Deutschland GmbH, 2021-12 |
| Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo Zhang, Chaoning; Zhang, Kang; Pham, Trung X; Niu, Axi; Qiao, Zhinan; Yoo, Chang-Dong; Kweon, In-So, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.14421 - 14430, IEEE, 2022-06 |
| HOW DOES SIMSIAM AVOID COLLAPSE WITHOUT NEGATIVE SAMPLES? A UNIFIED UNDERSTANDING WITH SELF-SUPERVISED CONTRASTIVE LEARNING Zhang, Chaoning; Zhang, Kang; Zhang, Chenshuang; Pham, Trung X; Yoo, Chang-Dong; Kweon, In-So, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04 |
| How Does SimSiam Avoid Collapse Without Negative Samples? Towards a Unified Understanding of Progress in SSL Zhang, Chaoning; Zhang, Kang; Yoo, Chang-Dong; Kweon, In-So, The International Conference on Learning Representations, ICLR 2022, The International Conference on Learning Representations (ICLR), 2022-04-27 |
| Investigating Top-k White-Box and Transferable Black-box Attack Zhang, Chaoning; Benz, Philipp; Karjauv, Adil; Cho, Jae Won; Zhang, Kang; Kweon, In So, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.15064 - 15073, Computer Vision Foundation, IEEE Computer Society, 2022-06-24 |
| Is FGSM Optimal or Necessary for L∞ Adversarial Attack? Zhang, Chaoning; Karjauv, Adil; Benz, Philipp; Ham, Soomin; Cho, Gyusang; Youn, Chan-Hyun; Kweon, In-So, Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (AML-CV), Computer Vision Foundation (CVF), IEEE Computer Society, 2021-06-19 |
| ResNet or DenseNet? Introducing Dense Shortcuts to ResNet Zhang, Chaoning; Benz, Philipp; Argaw, Dawit Mureja; Lee, Seokju; Kim, Junsik; Rameau, Francois; Bazin, Jean-Charles; et al, IEEE Winter Conference on Applications of Computer Vision (WACV), pp.3549 - 3558, IEEE, 2021-01 |
| Revisiting Batch Normalization for Improving Corruption Robustness Benz, Philipp; Zhang, Chaoning; Karjauv, Adil; Kweon, In So, IEEE Winter Conference on Applications of Computer Vision (WACV), pp.494 - 503, IEEE COMPUTER SOC, 2021-01 |
| Revisiting Residual Networks with Nonlinear Shortcuts Zhang, Chaoning; Kweon, In-So; Francois, Rameau; Shim, Gyumin, British Machine Vision Conference (BMVC), British Machine Vision Conference (BMVC), 2019-09-10 |
| UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging Zhang, Chaoning; Benz, Philipp; Karjauv, Adil; Sun, Geng; Kweon, In-So, 34th Conference on Neural Information Processing Systems, NeurIPS 2020, Conference on Neural Information Processing Systems, 2020-12-10 |
| Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Zhang, Chaoning; Benz, Philipp; Imtiaz, Tooba; Kweon, In-So, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, pp.14509 - 14518, IEEE Conference on Computer Vision and Pattern Recognition, 2020-06 |
| Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective Zhang, Chaoning; Benz, Philipp; Karjauv, Adil; Kweon, In So, 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, pp.3296 - 3304, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2021-02 |
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