Philipp Benz

Orcid: 0000-0002-4389-8282

According to our database1, Philipp Benz authored at least 30 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A*: Atrous Spatial Temporal Action Recognition for Real Time Applications.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels.
CoRR, 2023

Noisy adversarial representation learning for effective and efficient image obfuscation.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Simple Techniques are Sufficient for Boosting Adversarial Transferability.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention.
CoRR, 2022

Privacy Safe Representation Learning via Frequency Filtering Encoder.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

Investigating Top-k White-Box and Transferable Black-box Attack.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking.
CoRR, 2021

Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach.
CoRR, 2021

ResNet or DenseNet? Introducing Dense Shortcuts to ResNet.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Revisiting Batch Normalization for Improving Corruption Robustness.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Survey on Universal Adversarial Attack.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Universal Adversarial Training with Class-Wise Perturbations.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Data-free Universal Adversarial Perturbation and Black-box Attack.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features.
CoRR, 2020

Data from Model: Extracting Data from Non-robust and Robust Models.
CoRR, 2020

Propose-and-Attend Single Shot Detector.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy.
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Double Targeted Universal Adversarial Perturbations.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

CD-UAP: Class Discriminative Universal Adversarial Perturbation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fast Perception, Planning, and Execution for a Robotic Butler: Wheeled Humanoid M-Hubo.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Revisiting Residual Networks with Nonlinear Shortcuts.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Sensor-Based Mobile Robot Navigation via Deep Reinforcement Learning.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018


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