Philipp Benz | DeepAI

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In So Kweon
140 publications
Weiming Zhang
72 publications
Chaoning Zhang
42 publications
Jing Wu
30 publications
Sanghyun Woo
26 publications
Junsik Kim
21 publications
Kang Zhang
18 publications
Francois Rameau
18 publications
Kejiang Chen
16 publications
Seokju Lee
14 publications
Jae Won Cho
11 publications

∙ 06/15/2023

Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels

In real-world scenarios we often need to perform multiple tasks simultan...

0 Federica Spinola, et al. ∙

∙ 08/19/2022

Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention

Improving multi-view aggregation is integral for multi-view pedestrian d...

1 Jinwoo Hwang, et al. ∙

∙ 08/04/2022

Privacy Safe Representation Learning via Frequency Filtering Encoder

Deep learning models are increasingly deployed in real-world application...

0 Jonghu Jeong, et al. ∙

∙ 03/30/2022

Investigating Top-k White-Box and Transferable Black-box Attack

Existing works have identified the limitation of top-1 attack success ra...

0 Chaoning Zhang, et al. ∙

∙ 10/06/2021

Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs

Convolutional Neural Networks (CNNs) have become the de facto gold stand...

22 Philipp Benz, et al. ∙

∙ 04/07/2021

Universal Adversarial Training with Class-Wise Perturbations

Despite their overwhelming success on a wide range of applications, conv...

0 Philipp Benz, et al. ∙

∙ 03/02/2021

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

Data hiding is the art of concealing messages with limited perceptual ch...

0 Chaoning Zhang, et al. ∙

∙ 03/02/2021

A Survey On Universal Adversarial Attack

Deep neural networks (DNNs) have demonstrated remarkable performance for...

0 Chaoning Zhang, et al. ∙

∙ 02/12/2021

Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective

The booming interest in adversarial attacks stems from a misalignment be...

0 Chaoning Zhang, et al. ∙

∙ 12/30/2020

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

Data hiding is one widely used approach for protecting authentication an...

0 Chaoning Zhang, et al. ∙

∙ 10/26/2020

Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy

Recently, convolutional neural networks (CNNs) have made significant adv...

0 Philipp Benz, et al. ∙

∙ 10/23/2020

ResNet or DenseNet? Introducing Dense Shortcuts to ResNet

ResNet or DenseNet? Nowadays, most deep learning based approaches are im...

0 Chaoning Zhang, et al. ∙

∙ 10/07/2020

Revisiting Batch Normalization for Improving Corruption Robustness

Modern deep neural networks (DNN) have demonstrated remarkable success i...

0 Philipp Benz, et al. ∙

∙ 10/07/2020

Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features

Batch normalization (BN) has been widely used in modern deep neural netw...

0 Philipp Benz, et al. ∙

∙ 10/07/2020

CD-UAP: Class Discriminative Universal Adversarial Perturbation

A single universal adversarial perturbation (UAP) can be added to all na...

8 Chaoning Zhang, et al. ∙

∙ 10/07/2020

Double Targeted Universal Adversarial Perturbations

Despite their impressive performance, deep neural networks (DNNs) are wi...

1 Philipp Benz, et al. ∙

∙ 07/13/2020

Data from Model: Extracting Data from Non-robust and Robust Models

The essence of deep learning is to exploit data to train a deep neural n...

0 Philipp Benz, et al. ∙

∙ 07/13/2020

Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations

A wide variety of works have explored the reason for the existence of ad...

17 Chaoning Zhang, et al. ∙

∙ 01/02/2020

Fast Perception, Planning, and Execution for a Robotic Butler: Wheeled Humanoid M-Hubo

As the aging population grows at a rapid rate, there is an ever growing ...

0 Moonyoung Lee, et al. ∙

∙ 07/30/2019

Propose-and-Attend Single Shot Detector

We present a simple yet effective prediction module for a one-stage dete...

0 Ho-Deok Jang, et al. ∙

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