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ORCIDZhengyu Zhao 0001
Person information
- affiliation: Xi'an Jiaotong University, China
- affiliation (former): CISPA Helmholtz Center for Information Security, Germany
- affiliation (former): Radboud University, Nijmegen, The Netherlands
- affiliation (former): Tianjin University, Tianjin, China
- unicode name: 赵正宇
Other persons with the same name
- Zhengyu Zhao 0002 — Wuhan University, Wuhan, Hubei, China
- Zhengyu Zhao 0003
![[0000-0003-1678-9694]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1678-9694")
— Harbin Institute of Technology, Harbin, China
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2020 – today
- 2024
[j5]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: 3265-3278 (2024)- [j4]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: 5880-5894 (2024) - [i22]Junhao Zheng, Chenhao Lin, Jiahao Sun, Zhengyu Zhao, Qian Li, Chao Shen:
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving. CoRR abs/2403.17301 (2024) - 2023
- [j3]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Adversarial Image Color Transformations in Explicit Color Filter Space. IEEE Trans. Inf. Forensics Secur. 18: 3185-3197 (2023) - [c22]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 - [c21]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. ICML 2023: 22473-22487 - [c20]Zhengyu Zhao, Nga Dang, Martha A. Larson:
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images. MMM (2) 2023: 718-725 - [i21]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. CoRR abs/2301.13838 (2023) - [i20]Yihan Ma, Zhengyu Zhao, Xinlei He, Zheng Li, Michael Backes, Yang Zhang:
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis. CoRR abs/2306.07754 (2023) - [i19]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 abs/2308.07847 (2023) - [i18]Weijie Wang, Zhengyu Zhao, Nicu Sebe, Bruno Lepri:
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection. CoRR abs/2309.01104 (2023) - [i17]Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang:
Prompt Backdoors in Visual Prompt Learning. CoRR abs/2310.07632 (2023) - [i16]Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang:
Composite Backdoor Attacks Against Large Language Models. CoRR abs/2310.07676 (2023) - [i15]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 abs/2310.11850 (2023) - [i14]Qiwei Tian, Chenhao Lin, Qian Li, Zhengyu Zhao, Chao Shen:
Collapse-Oriented Adversarial Training with Triplet Decoupling for Robust Image Retrieval. CoRR abs/2312.07364 (2023) - 2022
- [c19]Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang:
Membership Inference Attacks by Exploiting Loss Trajectory. CCS 2022: 2085-2098 - [i13]Hamid Bostani, Zhuoran Liu, Zhengyu Zhao, Veelasha Moonsamy:
Domain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples. CoRR abs/2205.15128 (2022) - [i12]Zhengyu Zhao, Nga Dang, Martha A. Larson:
Evaluating Transfer-based Targeted Adversarial Perturbations against Real-World Computer Vision Systems based on Human Judgments. CoRR abs/2206.01467 (2022) - [i11]Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang:
Membership Inference Attacks by Exploiting Loss Trajectory. CoRR abs/2208.14933 (2022) - [i10]Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Generative Poisoning Using Random Discriminators. CoRR abs/2211.01086 (2022) - [i9]Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, Michael Backes:
Towards Good Practices in Evaluating Transfer Adversarial Attacks. CoRR abs/2211.09565 (2022) - 2021
- [c18]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 - [c17]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. NeurIPS 2021: 6115-6128 - [c16]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Pivoting Image-based Profiles Toward Privacy: Inhibiting Malicious Profiling with Adversarial Additions. UMAP 2021: 267-273 - [i8]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 abs/2111.13244 (2021) - 2020
- [c15]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter. BMVC 2020 - [c14]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance. CVPR 2020: 1036-1045 - [c13]Zhengyu Zhao:
Fooling Blind Image Quality Assessment by Optimizing a Human-Understandable Color Filter. MediaEval 2020 - [c12]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson, Laurent Amsaleg:
Pixel Privacy: Quality Camouflage for Social Images. MediaEval 2020 - [i7]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
A Differentiable Color Filter for Generating Unrestricted Adversarial Images. CoRR abs/2002.01008 (2020) - [i6]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space. CoRR abs/2011.06690 (2020) - [i5]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 abs/2011.09877 (2020) - [i4]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. CoRR abs/2012.11207 (2020)
2010 – 2019
- 2019
- [j2]Anan Liu, Zhengyu Zhao, Chengqian Zhang, Yuting Su:
Smooth filtering identification based on convolutional neural networks. Multim. Tools Appl. 78(19): 26851-26865 (2019) - [c11]Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov:
The Multimedia Satellite Task at MediaEval 2019. MediaEval 2019 - [c10]Zhuoran Liu, Zhengyu Zhao:
Adversarial Photo Frame: Concealing Sensitive Scene Information of Social Images in a User-Acceptable Manner. MediaEval 2019 - [c9]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Pixel Privacy 2019: Protecting Sensitive Scene Information in Images. MediaEval 2019 - [c8]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: 306-314 - [c7]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson, Ahmet Iscen, Naoko Nitta:
Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia 2019: 1076-1079 - [i3]Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval. CoRR abs/1901.10332 (2019) - [i2]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance. CoRR abs/1911.02466 (2019) - 2018
- [c6]Benjamin Bischke, Patrick Helber, Zhengyu Zhao, Jens de Bruijn, Damian Borth:
The Multimedia Satellite Task at MediaEval 2018. MediaEval 2018 - [c5]Martha A. Larson, Zhuoran Liu, Simon Brugman, Zhengyu Zhao:
Pixel Privacy: Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information. MediaEval 2018 - [c4]Zhuoran Liu, Zhengyu Zhao:
First Steps in Pixel Privacy: Exploring Deep Learning-based Image Enhancement against Large-Scale Image Inference. MediaEval 2018 - [c3]Zhengyu Zhao, Martha A. Larson, Nelleke Oostdijk:
Exploiting Local Semantic Concepts for Flooding-related Social Image Classification. MediaEval 2018 - [c2]Zhengyu Zhao, Martha A. Larson:
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia 2018: 1760-1768 - [i1]Zhengyu Zhao, Martha A. Larson:
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. CoRR abs/1807.08624 (2018) - 2017
- [j1]Anan Liu, Zhengyu Zhao, Chengqian Zhang, Yuting Su:
Median filtering forensics in digital images based on frequency-domain features. Multim. Tools Appl. 76(21): 22119-22132 (2017) - [c1]Zhengyu Zhao, Martha A. Larson:
Retrieving Social Flooding Images Based on Multimodal Information. MediaEval 2017
Coauthor Index
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