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ORCIDNuo Xu 0013
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2020 – today
- 2025
[j1]Nuo Xu
, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen:
Attacking the spike: On the security of spiking neural networks to adversarial examples. Neurocomputing 656: 131506 (2025)- [c7]Yuebo Luo, Shiyang Li, Junran Tao, Kiran Gautam Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang:
DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs. ICS 2025: 221-235 - [i9]Jinwei Tang, Jiayin Qin, Nuo Xu, Pragnya Sudershan Nalla, Yu Cao, Yang Zhao, Caiwen Ding:
MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging. CoRR abs/2508.14053 (2025) - [i8]Yuebo Luo, Shiyang Li, Junran Tao, Kiran Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang:
DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs. CoRR abs/2508.16769 (2025) - [i7]Bin Lei, Nuo Xu, Ali Payani, Ming-Yi Hong, Chunhua Liao, Yu Cao, Caiwen Ding:
GUI-Spotlight: Adaptive Iterative Focus Refinement for Enhanced GUI Visual Grounding. CoRR abs/2510.04039 (2025) - 2023
- [c6]Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding:
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. DAC 2023: 1-6 - [c5]Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding:
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC 2023: 1-6 - [c4]Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu:
AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. MICRO 2023: 628-640 - [c3]Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding:
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering. SP 2023: 1944-1960 - [i6]Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding:
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR abs/2302.02292 (2023) - [i5]Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding:
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. CoRR abs/2304.12214 (2023) - [i4]Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding:
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR abs/2306.15513 (2023) - [i3]Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding:
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering. CoRR abs/2307.13231 (2023) - 2022
- [c2]Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam:
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. ACSAC 2022: 669-683 - [c1]Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran:
Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification. IEEE Big Data 2022: 5823-5832 - [i2]Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam:
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. CoRR abs/2206.05565 (2022) - [i1]Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen:
Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples. CoRR abs/2209.03358 (2022)
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