Zhuoran Liu

Orcid: 0000-0003-0049-7080

Affiliations:
  • Radboud University, Nijmegen, The Netherlands


According to our database1, Zhuoran Liu authored at least 25 papers between 2018 and 2023.

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Bibliography

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

Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching.
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

Beyond Neural-on-Neural Approaches to Speaker Gender Protection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Adversarial Machine Learning.
Security and Artificial Intelligence, 2022

Generative Poisoning Using Random Discriminators.
CoRR, 2022

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

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

Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start.
Proceedings of the WWW '21: The Web Conference 2021, 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

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
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

Maintaining Perceptual Faithfulness of Adversarial Image Examples by Leveraging Color Variance.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 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

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


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