| 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 | 160* | 2020 |
| Text revealer: Private text reconstruction via model inversion attacks against transformers R Zhang, S Hidano, F Koushanfar arXiv preprint arXiv:2209.10505, 2022 | 17 | 2022 |
| 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 | 13 | 2023 |
| Remark-llm: A robust and efficient watermarking framework for generative large language models R Zhang, SS Hussain, P Neekhara, F Koushanfar arXiv preprint arXiv:2310.12362, 2023 | 6 | 2023 |
| 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 | 5* | 2023 |
| 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 | 2 | 2021 |
| HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks N Heydaribeni, X Zhan, R Zhang, T Eliassi-Rad, F Koushanfar arXiv preprint arXiv:2311.09375, 2023 | 1 | 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 | | 2024 |
| 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 arXiv preprint arXiv:2402.18059, 2024 | | 2024 |
| EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models R Zhang, F Koushanfar arXiv preprint arXiv:2402.17938, 2024 | | 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 | | 2023 |
| SABRE: Robust Bayesian Peer-to-Peer Federated Learning N Heydaribeni, R Zhang, T Javidi, C Nita-Rotaru, F Koushanfar arXiv preprint arXiv:2308.02747, 2023 | | 2023 |
| 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 | | 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 | | 2023 |
