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ORCIDPhilipp Benz
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2020 – today
- 2024
[c24]Jinwoo Hwang, Philipp Benz, Pete Kim:
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention. WACV 2024: 362-371- [c23]Myeongjun Kim, Federica Spinola
, Philipp Benz, Tae-Hoon Kim:
A*: Atrous Spatial Temporal Action Recognition for Real Time Applications. WACV 2024: 6999-7000 - 2023
- [c22]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 - [c21]Jonghu Jeong, Minyong Cho, Philipp Benz, Tae-Hoon Kim:
Noisy adversarial representation learning for effective and efficient image obfuscation. UAI 2023: 953-962 - [i20]Federica Spinola, Philipp Benz, Minhyeong Yu, Taehoon Kim:
Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels. CoRR abs/2306.08839 (2023) - 2022
- [c20]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 - [c19]Jonghu Jeong, Minyong Cho, Philipp Benz, Jinwoo Hwang, Jeewook Kim, Seungkwan Lee, Taehoon Kim:
Privacy Safe Representation Learning via Frequency Filtering Encoder. AISafety@IJCAI 2022 - [i19]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) - [i18]Jonghu Jeong, Minyong Cho, Philipp Benz, Jinwoo Hwang, Jeewook Kim, Seungkwan Lee, Tae-Hoon Kim:
Privacy Safe Representation Learning via Frequency Filtering Encoder. CoRR abs/2208.02482 (2022) - [i17]Jinwoo Hwang, Philipp Benz, Taehoon Kim:
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention. CoRR abs/2208.09211 (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]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 - [c15]Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon:
Data-free Universal Adversarial Perturbation and Black-box Attack. ICCV 2021: 7848-7857 - [c14]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Universal Adversarial Training with Class-Wise Perturbations. ICME 2021: 1-6 - [c13]Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon:
A Survey on Universal Adversarial Attack. IJCAI 2021: 4687-4694 - [c12]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 - [c11]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Revisiting Batch Normalization for Improving Corruption Robustness. WACV 2021: 494-503 - [c10]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]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
- [c9]Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon:
CD-UAP: Class Discriminative Universal Adversarial Perturbation. AAAI 2020: 6754-6761 - [c8]Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon:
Double Targeted Universal Adversarial Perturbations. ACCV (4) 2020: 284-300 - [c7]Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon:
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations. CVPR 2020: 14509-14518 - [c6]Chaoning Zhang, Philipp Benz, Adil Karjauv, Geng Sun, In So Kweon:
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. NeurIPS 2020 - [c5]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 - [c4]Ho-Deok Jang, Sanghyun Woo, Philipp Benz, Jinsun Park, In So Kweon:
Propose-and-Attend Single Shot Detector. WACV 2020: 804-813 - [i10]Moonyoung Lee, Yujin Heo, Jinyong Park, Hyundae Yang, Ho-Deok Jang, Philipp Benz, Hyunsub Park, In So Kweon, Jun-Ho Oh:
Fast Perception, Planning, and Execution for a Robotic Butler: Wheeled Humanoid M-Hubo. CoRR abs/2001.00356 (2020) - [i9]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) - [i8]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) - [i7]Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon:
Double Targeted Universal Adversarial Perturbations. CoRR abs/2010.03288 (2020) - [i6]Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon:
CD-UAP: Class Discriminative Universal Adversarial Perturbation. CoRR abs/2010.03300 (2020) - [i5]Philipp Benz, Chaoning Zhang, In So Kweon:
Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features. CoRR abs/2010.03316 (2020) - [i4]Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon:
Revisiting Batch Normalization for Improving Corruption Robustness. CoRR abs/2010.03630 (2020) - [i3]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) - [i2]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)
2010 – 2019
- 2019
- [c3]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 - [c2]Moonyoung Lee, Yujin Heo, Jinyong Park, Hyundae Yang, Ho-Deok Jang, Philipp Benz, Hyunsub Park, In So Kweon, Jun-Ho Oh:
Fast Perception, Planning, and Execution for a Robotic Butler: Wheeled Humanoid M-Hubo. IROS 2019: 5444-5451 - [i1]Ho-Deok Jang, Sanghyun Woo, Philipp Benz, Jinsun Park, In So Kweon:
Propose-and-Attend Single Shot Detector. CoRR abs/1907.12736 (2019) - 2018
- [c1]Seung-Ho Han, Ho-Jin Choi, Philipp Benz, Jorge Loaiciga:
Sensor-Based Mobile Robot Navigation via Deep Reinforcement Learning. BigComp 2018: 147-154
Coauthor Index
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