Search Results for author: Zhengyu Zhao

Found 9 papers, 9 papers with code

Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

1 code implementation25 Nov 2021 Zhuoran Liu, Zhengyu Zhao, Alex Kolmus, Tijn Berns, Twan van Laarhoven, Tom Heskes, Martha Larson

Recent work has shown that imperceptible perturbations can be applied to craft unlearnable examples (ULEs), i. e. images whose content cannot be used to improve a classifier during training.

On Success and Simplicity: A Second Look at Transferable Targeted Attacks

1 code implementation NeurIPS 2021 Zhengyu Zhao, Zhuoran Liu, Martha Larson

In particular, we, for the first time, identify that a simple logit loss can yield competitive results with the state of the arts.

Adversarial Robustness Against Image Color Transformation within Parametric Filter Space

1 code implementation12 Nov 2020 Zhengyu Zhao, Zhuoran Liu, Martha Larson

In this paper, we carry out a systematic robustness analysis of ACE from both the attack and defense perspectives by varying the bound of the color filter parameters.

Adversarial Robustness

Profile Consistency Identification for Open-domain Dialogue Agents

1 code implementation EMNLP 2020 Haoyu Song, Yan Wang, Wei-Nan Zhang, Zhengyu Zhao, Ting Liu, Xiaojiang Liu

Maintaining a consistent attribute profile is crucial for dialogue agents to naturally converse with humans.

Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter

1 code implementation3 Feb 2020 Zhengyu Zhao, Zhuoran Liu, Martha Larson

We introduce an approach that enhances images using a color filter in order to create adversarial effects, which fool neural networks into misclassification.

Image Enhancement

Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance

2 code implementations CVPR 2020 Zhengyu Zhao, Zhuoran Liu, Martha Larson

The success of image perturbations that are designed to fool image classifier is assessed in terms of both adversarial effect and visual imperceptibility.

Image Classification

Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval

1 code implementation29 Jan 2019 Zhuoran Liu, Zhengyu Zhao, Martha Larson

An adversarial query is an image that has been modified to disrupt content-based image retrieval (CBIR) while appearing nearly untouched to the human eye.

Content-Based Image Retrieval

From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition

1 code implementation23 Jul 2018 Zhengyu Zhao, Martha Larson

As deep learning approaches to scene recognition emerge, they have continued to leverage discriminative regions at multiple scales, building on practices established by conventional image classification research.

Image Classification Scene Recognition

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