| 2024 | CVPR | DIA: Diffusion based Inverse Network Attack on Collaborative Inference. | Dake Chen, Shiduo Li, Yuke Zhang, Chenghao Li, Souvik Kundu, Peter A. Beerel |
| 2024 | ICASSP | Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement. | Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel |
| 2024 | ICPR | What Makes Vision Transformers Robust Towards Bit-Flip Attack? | Xuan Zhou, Souvik Kundu, Dake Chen, Jie Huang, Peter A. Beerel |
| 2023 | CVPR | Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference. | Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel |
| 2023 | DAC | C | Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel |
| 2023 | ICCAD | RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference. | Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A. Beerel |
| 2023 | ICCV | SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation. | Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel |
| 2008 | ICNC | Approaches to Realize High Precision CMOS Bandgap Reference Based on Neural Network. | Dake Chen, Jiuqiang Han |