Philipp Benz - Concepedia

Author

Philipp Benz

Korea Advanced Institute of Science and Technology ORCID

Also Known As

Benz, Philipp, Ho-Deok Jang, Philipp Benz

Publications

847

Citations

H-Index

Concepts

All Affiliations

Korea Advanced Institute of Science and Technology Korea Institute of Science and Technology Korea Institute of Science & Technology Information

About

Philipp Benz is an author at Korea Advanced Institute of Science and Technology specializing in engineering, computer science, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	17	790
2	Computer Science	14	16	761
3	Data Science	11	11	529
4	Computer Engineering	4	4	246
5	Language Studies	1	1	20

Philipp Benz

Publications

808

Citations

H-Index

Page 1

	Year	Citations
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningNetwork Analysis	2021	148
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations Chaoning Zhang, Philipp Benz, Tooba Imtiaz, Artificial IntelligenceEngineeringMachine LearningAutoencodersMutual Influence	2020	129
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. Chaoning Zhang, Philipp Benz, Adil Karjauv, Neural Information Processing Systems Digital WatermarkingData HidingLight Field MessagingEngineeringSteganalysis	2020	89
Data-free Universal Adversarial Perturbation and Black-box Attack Chaoning Zhang, Philipp Benz, Adil Karjauv, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Artificial IntelligenceEngineeringMachine LearningInformation SecuritySingle Perturbation	2021	59
CD-UAP: Class Discriminative Universal Adversarial Perturbation Chaoning Zhang, Philipp Benz, Tooba Imtiaz, Proceedings of the AAAI Conference on Artificial Intelligence Data AugmentationEngineeringMachine LearningData ScienceComputational Learning Theory	2020	57
Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking Chaoning Zhang, Adil Karjauv, Philipp Benz, Digital WatermarkingData HidingImage AnalysisMachine LearningEngineering	2021	50
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective Chaoning Zhang, Philipp Benz, Adil Karjauv, Proceedings of the AAAI Conference on Artificial Intelligence Convolutional Neural NetworkEngineeringMachine LearningBiometricsSingle Perturbation	2021	35
Investigating Top-k White-Box and Transferable Black-box Attack Chaoning Zhang, Philipp Benz, Adil Karjauv, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) EngineeringInformation SecurityTransferable Black-box AttackInformation ForensicsSimple Fgsm	2022	33
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz, Soo-Min Ham, Chaoning Zhang, Data AugmentationConvolutional Neural NetworkMachine VisionMachine LearningImage Analysis	2021	32
Revisiting Residual Networks with Nonlinear Shortcuts. Chaoning Zhang, François Rameau, Seokju Lee, British Machine Vision Conference Geometric LearningEngineeringResidual NetworksMachine LearningDeep Learning	2019	29

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