Zhengyu Zhao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 48

Top Topics

Median Filtering

Autonomous Driving

Scene Recognition

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Junhao Zheng, Chenhao Lin, Jiahao Sun, Zhengyu Zhao, Qian Li, Chao Shen
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving. CoRR (2024)
Yulong Yang, Chenhao Lin, Qian Li, Zhengyu Zhao, Haoran Fan, Dawei Zhou, Nannan Wang, Tongliang Liu, Chao Shen
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Jingyi Deng, Chenhao Lin, Zhengyu Zhao, Shuai Liu, Qian Wang, Chao Shen
A Survey of Defenses against AI-generated Visual Media: Detection, Disruption, and Authentication. CoRR (2024)
Chen Ma, Ningfei Wang, Zhengyu Zhao, Qian Wang, Qi Alfred Chen, Chao Shen
ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving. CoRR (2024)
Yulong Yang, Haoran Fan, Chenhao Lin, Qian Li, Zhengyu Zhao, Chao Shen
Exploiting the Adversarial Example Vulnerability of Transfer Learning of Source Code. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR (2023)
Yihan Ma, Zhengyu Zhao, Xinlei He, Zheng Li, Michael Backes, Yang Zhang
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis. CoRR (2023)
Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
Prompt Backdoors in Visual Prompt Learning. CoRR (2023)
Qiwei Tian, Chenhao Lin, Qian Li, Zhengyu Zhao, Chao Shen
Collapse-Oriented Adversarial Training with Triplet Decoupling for Robust Image Retrieval. CoRR (2023)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
Adversarial Image Color Transformations in Explicit Color Filter Space. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. ICML (2023)
Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
Composite Backdoor Attacks Against Large Language Models. CoRR (2023)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. CoRR (2023)
Zhengyu Zhao, Nga Dang, Martha A. Larson
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images. MMM (2) (2023)
Yugeng Liu, Tianshuo Cong, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models. CoRR (2023)
Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Chao Shen
Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights. CoRR (2023)
Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, Michael Backes
Towards Good Practices in Evaluating Transfer Adversarial Attacks. CoRR (2022)
Zhengyu Zhao, Nga Dang, Martha A. Larson
Evaluating Transfer-based Targeted Adversarial Perturbations against Real-World Computer Vision Systems based on Human Judgments. CoRR (2022)
Hamid Bostani, Zhuoran Liu, Zhengyu Zhao, Veelasha Moonsamy
Domain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples. CoRR (2022)
Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Generative Poisoning Using Random Discriminators. CoRR (2022)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. NeurIPS (2021)
Zhuoran Liu, Zhengyu Zhao, Alex Kolmus, Tijn Berns, Twan van Laarhoven, Tom Heskes, Martha A. Larson
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples. CoRR (2021)
Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. NDSS (2021)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Pivoting Image-based Profiles Toward Privacy: Inhibiting Malicious Profiling with Adversarial Additions. UMAP (2021)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson, Laurent Amsaleg
Pixel Privacy: Quality Camouflage for Social Images. MediaEval (2020)
Zhengyu Zhao
Fooling Blind Image Quality Assessment by Optimizing a Human-Understandable Color Filter. MediaEval (2020)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter. BMVC (2020)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space. CoRR (2020)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
A Differentiable Color Filter for Generating Unrestricted Adversarial Images. CoRR (2020)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance. CVPR (2020)
Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. CoRR (2020)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. CoRR (2020)
Zhuoran Liu, Zhengyu Zhao
Adversarial Photo Frame: Concealing Sensitive Scene Information of Social Images in a User-Acceptable Manner. MediaEval (2019)
Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov
The Multimedia Satellite Task at MediaEval 2019. MediaEval (2019)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Who's Afraid of Adversarial Queries?: The Impact of Image Modifications on Content-based Image Retrieval. ICMR (2019)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Pixel Privacy 2019: Protecting Sensitive Scene Information in Images. MediaEval (2019)
Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval. CoRR (2019)
Anan Liu, Zhengyu Zhao, Chengqian Zhang, Yuting Su
Smooth filtering identification based on convolutional neural networks. Multim. Tools Appl. 78 (19) (2019)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance. CoRR (2019)
Zhengyu Zhao, Zhuoran Liu, Martha A. Larson, Ahmet Iscen, Naoko Nitta
Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia (2019)
Benjamin Bischke, Patrick Helber, Zhengyu Zhao, Jens de Bruijn, Damian Borth
The Multimedia Satellite Task at MediaEval 2018. MediaEval (2018)
Zhengyu Zhao, Martha A. Larson
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. CoRR (2018)
Martha A. Larson, Zhuoran Liu, Simon Brugman, Zhengyu Zhao
Pixel Privacy: Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information. MediaEval (2018)
Zhengyu Zhao, Martha A. Larson, Nelleke Oostdijk
Exploiting Local Semantic Concepts for Flooding-related Social Image Classification. MediaEval (2018)
Zhuoran Liu, Zhengyu Zhao
First Steps in Pixel Privacy: Exploring Deep Learning-based Image Enhancement against Large-Scale Image Inference. MediaEval (2018)
Zhengyu Zhao, Martha A. Larson
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia (2018)
Zhengyu Zhao, Martha A. Larson
Retrieving Social Flooding Images Based on Multimodal Information. MediaEval (2017)
Anan Liu, Zhengyu Zhao, Chengqian Zhang, Yuting Su
Median filtering forensics in digital images based on frequency-domain features. Multim. Tools Appl. 76 (21) (2017)