Zhuoran Liu

According to our database, Zhuoran Liu authored at least 26 papers between 2018 and 2024.

Collaborative distances:

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

2024

SoK: Neural Network Extraction Through Physical Side Channels.

Péter Horváth, Dirk Lauret, Zhuoran Liu, Lejla Batina

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

Adversarial Image Color Transformations in Explicit Color Filter Space.

Zhengyu Zhao, Zhuoran Liu, Martha A. Larson

IEEE Trans. Inf. Forensics Secur., 2023

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

Mingliang Liang, Zhuoran Liu, 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

Beyond Neural-on-Neural Approaches to Speaker Gender Protection.

Loes van Bemmel, Zhuoran Liu, Nik Vaessen, Martha A. Larson

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Adversarial Machine Learning.

Carlos Javier Hernández-Castro, Zhuoran Liu, Alex Serban, Ilias Tsingenopoulos, Wouter Joosen

Security and Artificial Intelligence, 2022

Generative Poisoning Using Random Discriminators.

Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, 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

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

Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start.

Zhuoran Liu, Martha A. Larson

Proceedings of the WWW '21: The Web Conference 2021, 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

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

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

Maintaining Perceptual Faithfulness of Adversarial Image Examples by Leveraging Color Variance.

Sam Sweere, Zhuoran Liu, Martha A. Larson

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

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