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Adil Karjauv
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2020 – today
- 2024
- [c13]Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian:
Object-Centric Diffusion for Efficient Video Editing. ECCV (57) 2024: 91-108 - [i9]Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian:
Object-Centric Diffusion for Efficient Video Editing. CoRR abs/2401.05735 (2024) - 2023
- [c12]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 - 2022
- [c11]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 - [i8]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) - 2021
- [c10]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 - [c9]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 - [c8]Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon:
Data-free Universal Adversarial Perturbation and Black-box Attack. ICCV 2021: 7848-7857 - [c7]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Universal Adversarial Training with Class-Wise Perturbations. ICME 2021: 1-6 - [c6]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 - [c5]Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon:
A Survey on Universal Adversarial Attack. IJCAI 2021: 4687-4694 - [c4]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 - [c3]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Revisiting Batch Normalization for Improving Corruption Robustness. WACV 2021: 494-503 - [i7]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) - [i6]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) - [i5]Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon:
A Survey On Universal Adversarial Attack. CoRR abs/2103.01498 (2021) - [i4]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Universal Adversarial Training with Class-Wise Perturbations. CoRR abs/2104.03000 (2021) - [i3]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
- [c2]Chaoning Zhang, Philipp Benz, Adil Karjauv, Geng Sun, In So Kweon:
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. NeurIPS 2020 - [c1]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 - [i2]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Revisiting Batch Normalization for Improving Corruption Robustness. CoRR abs/2010.03630 (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)
Coauthor Index
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last updated on 2024-10-11 18:18 CEST by the dblp team
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