| 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), 2020 | 113 | 2020 |
| On Success and Simplicity: A Second Look at Transferable Targeted Attacks Z Zhao, Z Liu, M Larson Advances in Neural Information Processing Systems (NeurIPS), 2021 | 59 | 2021 |
| Multimedia Satellite Task: Emergency Response for Flooding Events B Benjamin, H Patrick, Z Zhao, B Damian Multimedia Evaluation Benchmark Workshop (MediaEval), 2018 | 43* | 2018 |
| 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), 2019 | 40 | 2019 |
| Median Filtering Forensics in Digital Images Based on Frequency-Domain Features A Liu, Z Zhao, C Zhang, Y Su Multimedia Tools and Applications, 2017 | 36 | 2017 |
| Adversarial Image Color Transformations in Explicit Color Filter Space Z Zhao, Z Liu, M Larson IEEE Transactions on Information Forensics and Security (TIFS), 2023 | 35* | 2023 |
| From volcano to toyshop: Adaptive discriminative region discovery for scene recognition Z Zhao, M Larson ACM International Conference on Multimedia (ACM MM), 2018 | 33* | 2018 |
| Smooth filtering identification based on convolutional neural networks A Liu, Z Zhao, C Zhang, Y Su Multimedia Tools and Applications, 2017 | 32 | 2017 |
| Pixel Privacy Task: Protecting Privacy in Social Images against Automatic Inference Z Liu, Z Zhao, S Brugman, L Amsaleg, M Larson Multimedia Evaluation Benchmark Workshop (MediaEval), 2018 | 27* | 2018 |
| Membership Inference Attacks by Exploiting Loss Trajectory Y Liu, Z Zhao, M Backes, Y Zhang ACM Conference on Computer and Communications Security (CCS), 2022 | 22 | 2022 |
| RU Team@Multimedia Satellite Task: Retrieving Social Flooding Images Based on Multimodal Information. Z Zhao, M Larson Multimedia Evaluation Benchmark Workshop (MediaEval), 2017 | 22* | 2017 |
| 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 Network and Distributed System Security Symposium (NDSS), 2021 | 16 | 2021 |
| Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression Z Liu, Z Zhao, M Larson International Conference on Machine Learning (ICML), 2023 | 7* | 2023 |
| RU Team@Pixel Privacy Task: Adversarial Examples for Protecting Image Privacy Z Liu, Z Zhao Multimedia Evaluation Benchmark Workshop (MediaEval), 2018 | 7* | 2018 |
| Towards Good Practices in Evaluating Transfer Adversarial Attacks Z Zhao, H Zhang, R Li, R Sicre, L Amsaleg, M Backes arXiv preprint arXiv:2211.09565, 2023 | 6 | 2023 |
| 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 | 3 | 2023 |
| Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis Y Ma, Z Zhao, X He, Z Li, M Backes, Y Zhang arXiv preprint arXiv:2306.07754, 2023 | 2 | 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 | 1 | 2022 |
| Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection W Wang, Z Zhao, N Sebe, B Lepri arXiv preprint arXiv:2309.01104, 2023 | | 2023 |
| Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models Y Liu, T Cong, Z Zhao, M Backes, Y Shen, Y Zhang arXiv preprint arXiv:2308.07847, 2023 | | 2023 |
Zhuoran LiuRadboud University在 cs.ru.nl 的电子邮件经过验证
