| Tag: Gradient attack on transformer-based language models J Deng, Y Wang, J Li, C Shang, H Liu, S Rajasekaran, C Ding arXiv preprint arXiv:2103.06819, 2021 | 62 | 2021 |
| Sapag: A self-adaptive privacy attack from gradients Y Wang, J Deng, D Guo, C Wang, X Meng, H Liu, C Ding, S Rajasekaran arXiv preprint arXiv:2009.06228, 2020 | 36 | 2020 |
| Tinyadc: Peripheral circuit-aware weight pruning framework for mixed-signal dnn accelerators G Yuan, P Behnam, Y Cai, A Shafiee, J Fu, Z Liao, Z Li, X Ma, J Deng, ... 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 926-931, 2021 | 28 | 2021 |
| A novel privacy-preserving federated genome-wide association study framework and its application in identifying potential risk variants in ankylosing spondylitis X Wu, H Zheng, Z Dou, F Chen, J Deng, X Chen, S Xu, G Gao, M Li, ... Briefings in bioinformatics 22 (3), bbaa090, 2021 | 22 | 2021 |
| A secure and efficient federated learning framework for nlp J Deng, C Wang, X Meng, Y Wang, J Li, S Lin, S Han, F Miao, ... arXiv preprint arXiv:2201.11934, 2022 | 20 | 2022 |
| Enabling fast deep learning on tiny energy-harvesting IoT devices S Islam, J Deng, S Zhou, C Pan, C Ding, M Xie 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 921-926, 2022 | 17 | 2022 |
| Fl-disco: Federated generative adversarial network for graph-based molecule drug discovery: Special session paper D Manu, Y Sheng, J Yang, J Deng, T Geng, A Li, C Ding, W Jiang, L Yang 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 11 | 2021 |
| Esmfl: Efficient and secure models for federated learning S Lin, C Wang, H Li, J Deng, Y Wang, C Ding arXiv preprint arXiv:2009.01867, 2020 | 10 | 2020 |
| A DNN Compression Framework for SOT-MRAM-Based Processing-In-Memory Engine CD Geng Yuan, Xiaolong Ma, Sheng Lin, Zhengang Li, Jieren Deng 2020 IEEE 33rd International System-on-Chip Conference (SOCC), 2020 | 7 | 2020 |
| Variance of the gradient also matters: Privacy leakage from gradients Y Wang, J Deng, D Guo, C Wang, X Meng, H Liu, C Shang, B Wang, ... 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 5 | 2022 |
| Retrieving conditions from reference images for diffusion models H Tang, X Zhou, J Deng, Z Pan, H Tian, P Chaudhari arXiv preprint arXiv:2312.02521, 2023 | 2 | 2023 |
| 生物医疗大数据隐私与安全保护的应对策略与技术 窦佐超， 汪诚弘， 邓杰仁， 郑灏， 谢康， 沈百荣， 王爽 中华医学图书情报杂志 28 (11), 11-15, 2019 | 2 | 2019 |
| TAG: transformer attack from gradient J Deng, Y Wang, J Li, C Shang, H Liu, S Rajasekaran, C Ding CoRR, abs/2103.06819, 2021 | 1 | 2021 |
| Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness J Deng, H Hong, A Palmer, X Zhou, J Bi, K Mahmood, Y Hong, D Aguiar arXiv preprint arXiv:2405.16036, 2024 | | 2024 |
| GBSD: Generative Bokeh with Stage Diffusion J Deng, X Zhou, H Tian, Z Pan, D Aguiar ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Distilling Adversarial Robustness Using Heterogeneous Teachers J Deng, A Palmer, R Mahmood, E Rathbun, J Bi, K Mahmood, D Aguiar arXiv preprint arXiv:2402.15586, 2024 | | 2024 |
| Smooth and Stepwise Self-Distillation for Object Detection J Deng, X Zhou, H Tian, Z Pan, D Aguiar 2023 IEEE International Conference on Image Processing (ICIP), 2740-2744, 2023 | | 2023 |
| 联盟学习在生物医学大数据隐私保护中的原理与应用 窦佐超， 陈峰， 邓杰仁， 陈如梵， 郑灏， 孙琪， 谢康， 沈百荣， 王爽 医学信息学杂志 41 (5), 2-10, 2020 | | 2020 |
Derek AguiarAssistant Professor, Computer Science and Engineering Department, University of Connecticut在 uconn.edu 的电子邮件经过验证
Derek AguiarAssistant Professor, Computer Science and Engineering Department, University of Connecticut在 uconn.edu 的电子邮件经过验证