Zhengyu Zhao

According to our database, Zhengyu Zhao authored at least 51 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Hard Adversarial Example Mining for Improving Robust Fairness.

Chenhao Lin, Xiang Ji, Yulong Yang, Qian Li, Zhengyu Zhao, Zhe Peng, Run Wang, Liming Fang, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2025

2024

Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization.

Yulong Yang, Chenhao Lin, Qian Li, Zhengyu Zhao, Haoran Fan, Dawei Zhou, Nannan Wang, Tongliang Liu, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2024

Exploiting the Adversarial Example Vulnerability of Transfer Learning of Source Code.

Yulong Yang, Haoran Fan, Chenhao Lin, Qian Li, Zhengyu Zhao, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2024

Exploiting Facial Relationships and Feature Aggregation for Multi-Face Forgery Detection.

Chenhao Lin, Fangbin Yi, Hang Wang, Jingyi Deng, Zhengyu Zhao, Qian Li, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2024

A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations.

Yulong Yang, Haoran Fan, Chenhao Lin, Qian Li, Zhengyu Zhao, Chao Shen, Xiaohong Guan

CoRR, 2024

Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations.

Hamid Bostani, Zhengyu Zhao, Veelasha Moonsamy

CoRR, 2024

Unlocking Adversarial Suffix Optimization Without Affirmative Phrases: Efficient Black-box Jailbreaking via LLM as Optimizer.

Weipeng Jiang, Zhenting Wang, Juan Zhai, Shiqing Ma, Zhengyu Zhao, Chao Shen

CoRR, 2024

A Survey of Defenses against AI-generated Visual Media: Detection, Disruption, and Authentication.

Jingyi Deng, Chenhao Lin, Zhengyu Zhao, Shuai Liu, Qian Wang, Chao Shen

CoRR, 2024

Security Matrix for Multimodal Agents on Mobile Devices: A Systematic and Proof of Concept Study.

Yulong Yang, Xinshan Yang, Shuaidong Li, Chenhao Lin, Zhengyu Zhao, Chao Shen, Tianwei Zhang

CoRR, 2024

ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving.

Chen Ma, Ningfei Wang, Zhengyu Zhao, Qian Wang, Qi Alfred Chen, Chao Shen

CoRR, 2024

Composite Backdoor Attacks Against Large Language Models.

Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval.

Qiwei Tian, Chenhao Lin, Zhengyu Zhao, Qian Li, Chao Shen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving.

Junhao Zheng, Chenhao Lin, Jiahao Sun, Zhengyu Zhao, Qian Li, Chao Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Adversarial Image Color Transformations in Explicit Color Filter Space.

Zhengyu Zhao, Zhuoran Liu, Martha A. Larson

IEEE Trans. Inf. Forensics Secur., 2023

Collapse-Oriented Adversarial Training with Triplet Decoupling for Robust Image Retrieval.

Qiwei Tian, Chenhao Lin, Qian Li, Zhengyu Zhao, Chao Shen

CoRR, 2023

Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights.

Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Chao Shen

CoRR, 2023

Prompt Backdoors in Visual Prompt Learning.

Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2023

Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection.

Weijie Wang, Zhengyu Zhao, Nicu Sebe, Bruno Lepri

CoRR, 2023

Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models.

Yugeng Liu, Tianshuo Cong, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2023

Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis.

Yihan Ma, Zhengyu Zhao, Xinlei He, Zheng Li, Michael Backes, Yang Zhang

CoRR, 2023

The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images.

Zhengyu Zhao, Nga Dang, Martha A. Larson

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression.

Zhuoran Liu, Zhengyu Zhao, Martha A. Larson

Proceedings of the International Conference on Machine Learning, 2023

Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?

Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Towards Good Practices in Evaluating Transfer Adversarial Attacks.

Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, Michael Backes

CoRR, 2022

Generative Poisoning Using Random Discriminators.

Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, Martha A. Larson

CoRR, 2022

Evaluating Transfer-based Targeted Adversarial Perturbations against Real-World Computer Vision Systems based on Human Judgments.

Zhengyu Zhao, Nga Dang, Martha A. Larson

CoRR, 2022

Domain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples.

Hamid Bostani, Zhuoran Liu, Zhengyu Zhao, Veelasha Moonsamy

CoRR, 2022

Membership Inference Attacks by Exploiting Loss Trajectory.

Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Going Grayscale: The Road to Understanding and Improving Unlearnable Examples.

Zhuoran Liu, Zhengyu Zhao, Alex Kolmus, Tijn Berns, Twan van Laarhoven, Tom Heskes, Martha A. Larson

CoRR, 2021

Pivoting Image-based Profiles Toward Privacy: Inhibiting Malicious Profiling with Adversarial Additions.

Zhuoran Liu, Zhengyu Zhao, Martha A. Larson

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

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

Zhengyu Zhao, Zhuoran Liu, Martha A. Larson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel.

Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2020

Adversarial Robustness Against Image Color Transformation within Parametric Filter Space.

Zhengyu Zhao, Zhuoran Liu, Martha A. Larson

CoRR, 2020

A Differentiable Color Filter for Generating Unrestricted Adversarial Images.

Zhengyu Zhao, Zhuoran Liu, Martha A. Larson

CoRR, 2020

Pixel Privacy: Quality Camouflage for Social Images.

Zhuoran Liu, Zhengyu Zhao, Martha A. Larson, Laurent Amsaleg

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Fooling Blind Image Quality Assessment by Optimizing a Human-Understandable Color Filter.

Zhengyu Zhao

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance.

Zhengyu Zhao, Zhuoran Liu, Martha A. Larson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Zhengyu Zhao, Zhuoran Liu, Martha A. Larson

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Smooth filtering identification based on convolutional neural networks.

Anan Liu, Zhengyu Zhao, Chengqian Zhang, Yuting Su

Multim. Tools Appl., 2019

Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition.

Zhengyu Zhao, Zhuoran Liu, Martha A. Larson, Ahmet Iscen, Naoko Nitta

Proceedings of the 27th ACM International Conference on Multimedia, 2019

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

Zhuoran Liu, Zhengyu Zhao, Martha A. Larson

Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Pixel Privacy 2019: Protecting Sensitive Scene Information in Images.

Zhuoran Liu, Zhengyu Zhao, Martha A. Larson

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Adversarial Photo Frame: Concealing Sensitive Scene Information of Social Images in a User-Acceptable Manner.

Zhuoran Liu, Zhengyu Zhao

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

The Multimedia Satellite Task at MediaEval 2019.

Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

2018

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

Zhengyu Zhao, Martha A. Larson

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Exploiting Local Semantic Concepts for Flooding-related Social Image Classification.

Zhengyu Zhao, Martha A. Larson, Nelleke Oostdijk

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

First Steps in Pixel Privacy: Exploring Deep Learning-based Image Enhancement against Large-Scale Image Inference.

Zhuoran Liu, Zhengyu Zhao

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Pixel Privacy: Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information.

Martha A. Larson, Zhuoran Liu, Simon Brugman, Zhengyu Zhao

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

The Multimedia Satellite Task at MediaEval 2018.

Benjamin Bischke, Patrick Helber, Zhengyu Zhao, Jens de Bruijn, Damian Borth

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

2017

Median filtering forensics in digital images based on frequency-domain features.

Anan Liu, Zhengyu Zhao, Chengqian Zhang, Yuting Su

Multim. Tools Appl., 2017

Retrieving Social Flooding Images Based on Multimodal Information.

Zhengyu Zhao, Martha A. Larson

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017