| Physical attack on monocular depth estimation with optimal adversarial patches Z Cheng, J Liang, H Choi, G Tao, Z Cao, D Liu, X Zhang European conference on computer vision, 514-532, 2022 | 85 | 2022 |
| Adversarial training of self-supervised monocular depth estimation against physical-world attacks Z Cheng, J Liang, G Tao, D Liu, X Zhang The Eleventh International Conference on Learning Representations, 2023 | 25 | 2023 |
| GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization J Lao, Y Wang, Y Li, J Wang, Y Zhang, Z Cheng, W Chen, M Tang, ... 50th International Conference on Very Large Databases, VLDB 2024, 2023 | 13 | 2023 |
| Mixlora: Enhancing large language models fine-tuning with lora based mixture of experts D Li, Y Ma, N Wang, Z Cheng, L Duan, J Zuo, C Yang, M Tang arXiv preprint arXiv:2404.15159, 2024 | 8 | 2024 |
| Fusion is Not Enough: Single Modal Attack on Fusion Models for 3D Object Detection Z Cheng, H Choi, S Feng, JC Liang, G Tao, D Liu, M Zuzak, X Zhang The Twelfth International Conference on Learning Representations, 2024 | 7 | 2024 |
| A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System. J Lao, Y Wang, Y Li, J Wang, Y Zhang, Z Cheng, W Chen, Y Zhou, M Tang, ... SIGMOD Conference Companion, 504-507, 2024 | 2 | 2024 |
| BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks Z Cheng, Z Liu, T Guo, S Feng, D Liu, M Tang, X Zhang arXiv preprint arXiv:2404.00924, 2024 | 2 | 2024 |
| RVPLAYER: Robotic Vehicle Forensics by Replay with What-if Reasoning H Choi, Z Cheng, X Zhang 29th Annual Network and Distributed System Security Symposium, NDSS 2022, 2022 | 2 | 2022 |
| Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks Z Cheng, C Han, J Liang, Q Wang, X Zhang, D Liu arXiv preprint arXiv:2406.05857, 2024 | | 2024 |
Dongfang LiuRochester Institute of TechnologyBestätigte E-Mail-Adresse bei rit.edu
