| 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 | 163 | 2019 |
| 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 | 119 | 2020 |
| 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 | 49 | 2019 |
| Adversarial color enhancement: Generating unrestricted adversarial images by optimizing a color filter Z Zhao, Z Liu, M Larson British Machine Vision Conference (BMVC), 2020 | 37 | 2020 |
| Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression Z Liu, Z Zhao, M Larson International Conference on Machine Learning (ICML), 2023 | 35* | 2023 |
| 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 | 33 | 2020 |
| 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 | 32 | 2020 |
| 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 | 23 | 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 | 21* | 2020 |
| 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 | 21 | 2018 |
| Adversarial machine learning CJ Hernández-Castro, Z Liu, A Serban, I Tsingenopoulos, W Joosen Security and Artificial Intelligence: A Crossdisciplinary Approach, 287-312, 2022 | 12 | 2022 |
| Pixel Privacy 2019: Protecting Sensitive Scene Information in Images Z Liu, Z Zhao, M Larson Working Notes Proceedings of the MediaEval 2019 Workshop, 2019 | 12 | 2019 |
| Exploring Quality Camouflage for Social Images Z Liu, Z Zhao, M Larson, L Amsaleg Working Notes Proceedings of the MediaEval 2020 Workshop, 2020 | 7 | 2020 |
| 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 | 6 | 2019 |
| 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 | 6 | 2018 |
| 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 | 3 | 2023 |
| 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 | 3 | 2022 |
| Level Up with RealAEs: Leveraging Domain Constraints in Feature Space to Strengthen Robustness of Android Malware Detection H Bostani, Z Zhao, Z Liu, V Moonsamy arXiv preprint arXiv:2205.15128, 2022 | 2 | 2022 |
| 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 | 1 | 2023 |
| 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 | 1 | 2021 |
Zhengyu ZhaoXi'an Jiaotong University, ChinaVerified email at xjtu.edu.cn
