Li Yu (李渝)
Li Yu (李渝)
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I know what you see: Power side-channel attack on convolutional neural network accelerators
L Wei, B Luo, Y Li, Y Liu, Q Xu
(ACSAC'18) Proceedings of the 34th Annual Computer Security Applications …, 2018
DeepDyve: Dynamic Verification for Deep Neural Networks
Y Li, M Li, B Luo, Y Tian, Q Xu
(CCS'20) Proceedings of the 2020 ACM SIGSAC Conference on Computer and …, 2020
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
M Li, Y Li, Y Tian, L Jiang, Q Xu
(DAC'21) 2021 58th ACM/IEEE Design Automation Conference, 2021
D2NN: a fine-grained dual modular redundancy framework for deep neural networks
Y Li, Y Liu, M Li, Y Tian, B Luo, Q Xu
(ACSAC'19) Proceedings of the 35th Annual Computer Security Applications …, 2019
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
Y Li, M Li, Q Lai, Y Liu, Q Xu
(NeurIPS'21) Thirty-fifth Conference on Neural Information Processing Systems, 2021
What you see is not what the network infers: detecting adversarial examples based on semantic contradiction
Y Yang, R Gao, Y Li, Q Lai, Q Xu
(NDSS'22) Network and Distributed Systems Security (NDSS) Symposium 2022, 2022
On functional test generation for deep neural network ips
B Luo, Y Li, L Wei, Q Xu
(DATE'19) 2019 Design, Automation & Test in Europe Conference & Exhibition …, 2019
IEEE Std P1838's flexible parallel port and its specification with Google's protocol buffers
Y Li, M Shao, H Jiao, A Cron, S Bhatia, EJ Marinissen
(ETS'18) 2018 IEEE 23rd European Test Symposium, 1-6, 2018
HybridRepair: towards annotation-efficient repair for deep learning models
Y Li, M Chen, Q Xu
(ISSTA'22) Proceedings of the 31st ACM SIGSOFT International Symposium on …, 2022
On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers
X Wang, Y Li, Y Chen, S Wang, Y Du, C He, YZ Zhang, P Chen, X Li, ...
(VTS'21) 2021 IEEE 39th VLSI Test Symposium, 1-6, 2021
An empirical study on the efficacy of deep active learning for image classification
Y Li, M Chen, Y Liu, D He, Q Xu
arXiv preprint arXiv:2212.03088, 2022
Information Bottleneck Approach to Spatial Attention Learning
Q Lai, Y Li, A Zeng, M Liu, H Sun, Q Xu
IJCAI 2021, 2021
The dawn of ai-native eda: Promises and challenges of large circuit models
L Chen, Y Chen, Z Chu, W Fang, TY Ho, Y Huang, S Khan, M Li, X Li, ...
arXiv preprint arXiv:2403.07257, 2024
HiBug: On Human-Interpretable Model Debug
M Chen, Y Li, Q Xu
(NeurIPS'23)Thirty-seventh Conference on Neural Information Processing Systems, 2023
Meaod: Model extraction attack against object detectors
Z Li, C Shi, Y Pu, X Zhang, Y Li, J Li, S Ji
arXiv preprint arXiv:2312.14677, 2023
EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field
X Peng, Z Huang, A Cantrell, BH Shu, KK Xie, Y Li, Y Li, L Jiang, Q Xu, ...
2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023
Mixdefense: A defense-in-depth framework for adversarial example detection based on statistical and semantic analysis
Y Yang, R Gao, Y Li, Q Lai, Q Xu
arXiv preprint arXiv:2104.10076, 2021
On Configurable Defense against Adversarial Example Attacks
B Luo, M Li, Y Li, Q Xu
(GLSVLSI'20) Proceedings of the 2020 on Great Lakes Symposium on VLSI, 543-548, 2020
RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation
J Zhou, L Lyu, D He, Y Li
arXiv preprint arXiv:2402.15853, 2024
Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures
Y Li, Q Xu
(ITC'23) 2023 IEEE International Test Conference, 196-205, 2023
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