| Cmua-watermark: A cross-model universal adversarial watermark for combating deepfakes H Huang, Y Wang, Z Chen, Y Zhang, Y Li, Z Tang, W Chu, J Chen, W Lin, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 989-997, 2022 | 74 | 2022 |
| Pimae: Point cloud and image interactive masked autoencoders for 3d object detection A Chen, K Zhang, R Zhang, Z Wang, Y Lu, Y Guo, S Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 55 | 2023 |
| T-sea: Transfer-based self-ensemble attack on object detection H Huang, Z Chen, H Chen, Y Wang, K Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 33 | 2023 |
| Red teaming deep neural networks with feature synthesis tools S Casper, T Bu, Y Li, J Li, K Zhang, K Hariharan, D Hadfield-Menell Advances in Neural Information Processing Systems 36, 80470-80516, 2023 | 17 | 2023 |
| Benchmarking interpretability tools for deep neural networks S Casper, Y Li, J Li, T Bu, K Zhang, D Hadfield-Menell arXiv preprint arXiv:2302.10894 4, 2023 | 9 | 2023 |
| i-mae: Are latent representations in masked autoencoders linearly separable? K Zhang, Z Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| Cloud-Device Collaborative Learning for Multimodal Large Language Models G Wang, J Liu, C Li, Y Zhang, J Ma, X Wei, K Zhang, M Chong, R Zhang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Mortar: Morphing the bit level sparsity for general purpose deep learning acceleration Y Gao, H Li, K Zhang, X Yu, H Lu Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023 | 1 | 2023 |
| BEM: Bit-level Sparsity-aware Deep Learning Accelerator with Efficient Booth Encoding and Weight Multiplexing Y Gao, K Zhang, S Jia 2022 IEEE 4th International Conference on Circuits and Systems (ICCS), 187-194, 2022 | | 2022 |
