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Philipp Benz
Philipp Benz
Deeping Source Inc.
Verified email at deepingsource.io - Homepage
Title
Cited by
Cited by
Year
Udh: Universal deep hiding for steganography, watermarking, and light field messaging
C Zhang, P Benz, A Karjauv, G Sun, IS Kweon
Advances in Neural Information Processing Systems 33, 10223-10234, 2020
1472020
Understanding adversarial examples from the mutual influence of images and perturbations
C Zhang, P Benz, T Imtiaz, IS Kweon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1412020
Resnet or densenet? introducing dense shortcuts to resnet
C Zhang, P Benz, DM Argaw, S Lee, J Kim, F Rameau, JC Bazin, ...
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
1342021
A survey on universal adversarial attack
C Zhang, P Benz, C Lin, A Karjauv, J Wu, IS Kweon
arXiv preprint arXiv:2103.01498, 2021
952021
Revisiting batch normalization for improving corruption robustness
P Benz, C Zhang, A Karjauv, IS Kweon
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
842021
Adversarial robustness comparison of vision transformer and mlp-mixer to cnns
P Benz, S Ham, C Zhang, A Karjauv, IS Kweon
arXiv preprint arXiv:2110.02797, 2021
812021
Cd-uap: Class discriminative universal adversarial perturbation
C Zhang, P Benz, T Imtiaz, IS Kweon
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6754-6761, 2020
702020
Double targeted universal adversarial perturbations
P Benz, C Zhang, T Imtiaz, IS Kweon
Proceedings of the Asian Conference on Computer Vision, 2020
562020
Robustness may be at odds with fairness: An empirical study on class-wise accuracy
P Benz, C Zhang, A Karjauv, IS Kweon
NeurIPS 2020 Workshop on pre-registration in machine learning, 325-342, 2021
512021
Universal adversarial perturbations through the lens of deep steganography: Towards a fourier perspective
C Zhang, P Benz, A Karjauv, IS Kweon
Proceedings of the AAAI conference on artificial intelligence 35 (4), 3296-3304, 2021
502021
A brief survey on deep learning based data hiding
C Zhang, C Lin, P Benz, K Chen, W Zhang, IS Kweon
arXiv preprint arXiv:2103.01607, 2021
492021
Data-free universal adversarial perturbation and black-box attack
C Zhang, P Benz, A Karjauv, IS Kweon
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
482021
Towards robust deep hiding under non-differentiable distortions for practical blind watermarking
C Zhang, A Karjauv, P Benz, IS Kweon
Proceedings of the 29th ACM international conference on multimedia, 5158-5166, 2021
472021
Batch normalization increases adversarial vulnerability and decreases adversarial transferability: A non-robust feature perspective
P Benz, C Zhang, IS Kweon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
392021
Investigating top-k white-box and transferable black-box attack
C Zhang, P Benz, A Karjauv, JW Cho, K Zhang, IS Kweon
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
372022
Revisiting Residual Networks with Nonlinear Shortcuts.
C Zhang, F Rameau, S Lee, J Kim, P Benz, DM Argaw, JC Bazin, ...
BMVC, 12, 2019
332019
Universal adversarial training with class-wise perturbations
P Benz, C Zhang, A Karjauv, IS Kweon
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
312021
Sensor-based mobile robot navigation via deep reinforcement learning
SH Han, HJ Choi, P Benz, J Loaiciga
2018 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2018
312018
Propose-and-attend single shot detector
HD Jang, S Woo, P Benz, J Park, IS Kweon
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
222020
Towards robust data hiding against (jpeg) compression: A pseudo-differentiable deep learning approach
C Zhang, A Karjauv, P Benz, IS Kweon
arXiv preprint arXiv:2101.00973, 2020
192020
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Articles 1–20