Zhengyu Zhao

Orcid: 0000-0003-0745-4294

Affiliations:
  • Xi'an Jiaotong University, China
  • CISPA Helmholtz Center for Information Security, Germany (former)
  • Radboud University, Nijmegen, The Netherlands (former)
  • Tianjin University, Tianjin, China (former)


According to our database1, Zhengyu Zhao authored at least 41 papers between 2017 and 2024.

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Timeline

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Bibliography

2024
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization.
IEEE Trans. Inf. Forensics Secur., 2024

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving.
CoRR, 2024

2023
Adversarial Image Color Transformations in Explicit Color Filter Space.
IEEE Trans. Inf. Forensics Secur., 2023

Collapse-Oriented Adversarial Training with Triplet Decoupling for Robust Image Retrieval.
CoRR, 2023

Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights.
CoRR, 2023

Composite Backdoor Attacks Against Large Language Models.
CoRR, 2023

Prompt Backdoors in Visual Prompt Learning.
CoRR, 2023

Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection.
CoRR, 2023

Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models.
CoRR, 2023

Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis.
CoRR, 2023

The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression.
Proceedings of the International Conference on Machine Learning, 2023

Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks.
CoRR, 2022

Generative Poisoning Using Random Discriminators.
CoRR, 2022

Evaluating Transfer-based Targeted Adversarial Perturbations against Real-World Computer Vision Systems based on Human Judgments.
CoRR, 2022

Domain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples.
CoRR, 2022

Membership Inference Attacks by Exploiting Loss Trajectory.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples.
CoRR, 2021

Pivoting Image-based Profiles Toward Privacy: Inhibiting Malicious Profiling with Adversarial Additions.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

On Success and Simplicity: A Second Look at Transferable Targeted Attacks.
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.
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2020
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space.
CoRR, 2020

A Differentiable Color Filter for Generating Unrestricted Adversarial Images.
CoRR, 2020

Pixel Privacy: Quality Camouflage for Social Images.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Fooling Blind Image Quality Assessment by Optimizing a Human-Understandable Color Filter.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance.
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.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Smooth filtering identification based on convolutional neural networks.
Multim. Tools Appl., 2019

Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition.
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.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Pixel Privacy 2019: Protecting Sensitive Scene Information in Images.
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.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

The Multimedia Satellite Task at MediaEval 2019.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

2018
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Exploiting Local Semantic Concepts for Flooding-related Social Image Classification.
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.
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.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

The Multimedia Satellite Task at MediaEval 2018.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

2017
Median filtering forensics in digital images based on frequency-domain features.
Multim. Tools Appl., 2017

Retrieving Social Flooding Images Based on Multimodal Information.
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


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