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Zhuoran Liu
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Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
Z Zhao, Z Liu, M Larson
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
1332019
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Z Zhao, Z Liu, M Larson
Advances in Neural Information Processing Systems (NeurIPS), 2020
902020
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval
Z Liu, Z Zhao, M Larson
ACM International Conference on Multimedia Retrieval (ICMR), 306-314, 2019
482019
Adversarial color enhancement: Generating unrestricted adversarial images by optimizing a color filter
Z Zhao, Z Liu, M Larson
British Machine Vision Conference (BMVC), 2020
302020
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
Z Liu, M Larson
The Web Conference (WWW), 2020
272020
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel
Z Liu, N Samwel, L Weissbart, Z Zhao, D Lauret, L Batina, M Larson
The Network and Distributed System Security Symposium (NDSS), 2020
242020
Pixel Privacy. Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information
M Larson, Z Liu, SFB Brugman, Z Zhao
Working Notes Proceedings of the MediaEval 2018 Workshop, 2018
202018
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
Z Liu, Z Zhao, M Larson
International Conference on Machine Learning (ICML), 2023
16*2023
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space
Z Zhao, Z Liu, M Larson
IEEE Transactions on Information Forensics and Security (TIFS), 2020
14*2020
Pixel Privacy 2019: Protecting Sensitive Scene Information in Images
Z Liu, Z Zhao, M Larson
Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
122019
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
R Wen, Z Zhao, Z Liu, M Backes, T Wang, Y Zhang
International Conference on Learning Representations (ICLR), 2023
112023
Adversarial machine learning
CJ Hernández-Castro, Z Liu, A Serban, I Tsingenopoulos, W Joosen
Security and Artificial Intelligence: A Crossdisciplinary Approach, 287-312, 2022
82022
Exploring Quality Camouflage for Social Images
Z Liu, Z Zhao, M Larson, L Amsaleg
Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
62020
Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition
Z Zhao, Z Liu, M Larson, A Iscen, N Nitta
Proceedings of the 27th ACM International Conference on Multimedia, 1076-1079, 2019
62019
First Steps in Pixel Privacy: Exploring Deep Learning-based Image Enhancement against Large-Scale Image Inference.
Z Liu, Z Zhao
Working Notes Proceedings of the MediaEval 2018 Workshop, 2018
62018
Beyond Neural-on-Neural Approaches to Speaker Gender Protection
L van Bemmel, Z Liu, N Vaessen, M Larson
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Generative Poisoning Using Random Discriminators
D van Vlijmen, A Kolmus, Z Liu, Z Zhao, M Larson
ECCV Workshop on Responsible Computer Vision (ECCV-RCV), 2022
22022
Pivoting Image-based Profiles Toward Privacy: Inhibiting Malicious Profiling with Adversarial Additions
Z Liu, Z Zhao, M Larson
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and …, 2021
22021
Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching
M Liang, Z Liu, M Larson
MultiMedia Modeling (MMM), 421-433, 2023
12023
Domain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples
H Bostani, Z Liu, Z Zhao, V Moonsamy
arXiv preprint arXiv:2205.15128, 2022
2022
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