| MedDialog: Large-scale medical dialogue datasets G Zeng, W Yang, Z Ju, Y Yang, S Wang, R Zhang, M Zhou, J Zeng, ... Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 239* | 2020 |
| Text revealer: Private text reconstruction via model inversion attacks against transformers R Zhang, S Hidano, F Koushanfar arXiv preprint arXiv:2209.10505, 2022 | 35 | 2022 |
| {REMARK-LLM}: A robust and efficient watermarking framework for generative large language models R Zhang, SS Hussain, P Neekhara, F Koushanfar 33rd USENIX Security Symposium (USENIX Security 24), 1813-1830, 2024 | 33 | 2024 |
| Real-time Facial Animation for 3D Stylized Character with Emotion Dynamics Y Pan, R Zhang, J Wang, Y Ding, K Mitchell Proceedings of the 31st ACM International Conference on Multimedia, 6851-6859, 2023 | 17* | 2023 |
| Distributed constrained combinatorial optimization leveraging hypergraph neural networks N Heydaribeni, X Zhan, R Zhang, T Eliassi-Rad, F Koushanfar Nature Machine Intelligence, 1-9, 2024 | 15* | 2024 |
| Emotional voice puppetry Y Pan, R Zhang, S Cheng, S Tan, Y Ding, K Mitchell, X Yang IEEE Transactions on Visualization and Computer Graphics 29 (5), 2527-2535, 2023 | 14 | 2023 |
| Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models M Huo, SA Somayajula, Y Liang, R Zhang, F Koushanfar, P Xie 2024 International Conference on Machine Learning, 2024 | 11 | 2024 |
| An End-to-End Learning Based Metadata Management Approach for Distributed File Systems Y Gao, X Gao, R Zhang, G Chen IEEE Transactions on Computers, 2021 | 5 | 2021 |
| EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models R Zhang, F Koushanfar 2024 61th ACM/IEEE Design Automation Conference (DAC), 1-6, 2024 | 4 | 2024 |
| Systemization of knowledge: robust deep learning using hardware-software co-design in centralized and federated settings R Zhang, S Hussain, H Chen, M Javaheripi, F Koushanfar ACM Transactions on Design Automation of Electronic Systems 28 (6), 1-32, 2023 | 3 | 2023 |
| ICMarks: A Robust Watermarking Framework for Integrated Circuit Physical Design IP Protection R Zhang, RS Rajarathnam, DZ Pan, F Koushanfar arXiv preprint arXiv:2404.18407, 2024 | 2 | 2024 |
| G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts C Sendner, R Zhang, A Hefter, A Dmitrienko, F Koushanfar arXiv preprint arXiv:2307.08549, 2023 | 2 | 2023 |
| AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs R Zhang, M Javaheripi, Z Ghodsi, A Bleiweiss, F Koushanfar 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 2 | 2023 |
| SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile R Zhang*, T Liu*, W Feng, A Gu, S Purandare, W Liang, F Massa arXiv preprint arXiv:2411.00284, 2024 | 1 | 2024 |
| Automated Physical Design Watermarking Leveraging Graph Neural Networks R Zhang, RS Rajarathnam, DZ Pan, F Koushanfar Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning …, 2024 | 1 | 2024 |
| Watermarking Large Language Models and the Generated Content: Opportunities and Challenges R Zhang, F Koushanfar 2024 Asilomar Conference on Signals, Systems, and Computers, 2024 | | 2024 |
| SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection N Heydaribeni*, R Zhang*, T Javidi, C Nita-Rotaru, F Koushanfar arXiv preprint arXiv:2308.02747, 2023 | | 2023 |
Farinaz KoushanfarProfessor and Siavouche Nemat-Nasser Endowed Chair of ECE, UC San DiegoVerified email at ucsd.edu