| 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 | 149 | 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 | 108 | 2021 |
| Membership Inference Attacks by Exploiting Loss Trajectory Y Liu, Z Zhao, M Backes, Y Zhang ACM Conference on Computer and Communications Security (CCS), 2022 | 60 | 2022 |
| Multimedia Satellite Task: Flooding Events Recognition from Social Media B Bischke, P Helber, Z Zhao, J De Bruijn, D Borth Multimedia Evaluation Benchmark Workshop (MediaEval), 2018 | 50* | 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 | 48 | 2019 |
| Adversarial Image Color Transformations in Explicit Color Filter Space Z Zhao, Z Liu, M Larson IEEE Transactions on Information Forensics and Security (TIFS), 2023 | 46* | 2023 |
| Median Filtering Forensics in Digital Images Based on Frequency-Domain Features A Liu, Z Zhao, C Zhang, Y Su Multimedia Tools and Applications (MTAP), 2017 | 36 | 2017 |
| From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition Z Zhao, M Larson ACM International Conference on Multimedia (ACM MM), 2018 | 34* | 2018 |
| Smooth Filtering Identification based on Convolutional Neural Networks A Liu, Z Zhao, C Zhang, Y Su Multimedia Tools and Applications (MTAP), 2017 | 33 | 2017 |
| Pixel Privacy Task: Protecting Visual Privacy via Adversarial Image Transformations M Larson, Z Liu, Z Zhao, S Brugman, L Amsaleg Multimedia Evaluation Benchmark Workshop (MediaEval), 2018 | 32* | 2018 |
| RU Team@MediaEval Tasks Z Zhao*, Z Liu*, M Larson Multimedia Evaluation Benchmark Workshop (MediaEval), 2018 | 30* | 2018 |
| Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression Z Liu, Z Zhao, M Larson International Conference on Machine Learning (ICML), 2023 | 27* | 2023 |
| 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 | 27 | 2021 |
| Composite Backdoor Attacks against Large Language Models H Huang, Z Zhao, M Backes, Y Shen, Y Zhang North American Association for Computational Linguistics (NAACL) Findings, 2024 | 24 | 2024 |
| Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights Z Zhao*, H Zhang*, R Li*, R Sicre, L Amsaleg, M Backes, Q Li, C Shen arXiv preprint arXiv:2310.11850, 2023 | 23* | 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 | 19 | 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 | 16 | 2023 |
| Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization Y Yang, C Lin, Q Li, Z Zhao, H Fan, D Zhou, N Wang, T Liu, C Shen IEEE Transactions on Information Forensics and Security (TIFS), 2024 | 6* | 2024 |
| 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 | 6 | 2023 |
| Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving J Zheng, C Lin, J Sun, Z Zhao, Q Li, C Shen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 4 | 2024 |
Martha LarsonRadboud University在 ru.nl 的电子邮件经过验证
