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Yuxin Su
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Boosting the transferability of adversarial samples via attention
W Wu, Y Su, X Chen, S Zhao, I King, MR Lyu, YW Tai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
392020
Reversible data hiding for BTC-compressed images based on bitplane flipping and histogram shifting of mean tables
CH Li, ZM Lu, YX Su
Information technology journal 10 (7), 1421-1426, 2011
362011
A survey on automated log analysis for reliability engineering
S He, P He, Z Chen, T Yang, Y Su, MR Lyu
ACM Computing Surveys (CSUR) 54 (6), 1-37, 2021
282021
Boosting response aware model-based collaborative filtering
H Yang, G Ling, Y Su, MR Lyu, I King
IEEE Transactions on Knowledge and Data Engineering 27 (8), 2064-2077, 2015
262015
Deterministic scale-free small-world networks of arbitrary order
ZM Lu, YX Su, SZ Guo
Physica A: Statistical Mechanics and its Applications 392 (17), 3555-3562, 2013
252013
Towards global explanations of convolutional neural networks with concept attribution
W Wu, Y Su, X Chen, S Zhao, I King, MR Lyu, YW Tai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
202020
Improving the transferability of adversarial samples with adversarial transformations
W Wu, Y Su, MR Lyu, I King
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
162021
Deepobfuscation: Securing the structure of convolutional neural networks via knowledge distillation
H Xu, Y Su, Z Zhao, Y Zhou, MR Lyu, I King
arXiv preprint arXiv:1806.10313, 2018
132018
Learning to Rank Using Localized Geometric Mean Metrics
Y Su, I King, MR Lyu
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
92017
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Z Chen, J Liu, W Gu, Y Su, MR Lyu
arXiv preprint arXiv:2107.05908, 2021
62021
Communication-efficient distributed deep metric learning with hybrid synchronization
Y Su, M Lyu, I King
Proceedings of the 27th ACM International Conference on Information and …, 2018
42018
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators
Y Su, S Zhao, X Chen, I King, M Lyu
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
32019
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
J Zhang, W Wu, J Huang, Y Huang, W Wang, Y Su, MR Lyu
arXiv preprint arXiv:2204.00008, 2022
22022
Defuse: A Dependency-Guided Function Scheduler to Mitigate Cold Starts on FaaS Platforms
J Shen, T Yang, Y Su, Y Zhou, MR Lyu
2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021
22021
Distributed information-theoretic metric learning in apache spark
Y Su, H Yang, I King, M Lyu
2016 International Joint Conference on Neural Networks (IJCNN), 3306-3313, 2016
22016
AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems
T Yang, J Shen, Y Su, X Ling, Y Yang, MR Lyu
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
12021
Graph-based Incident Aggregation for Large-Scale Online Service Systems
Z Chen, J Liu, Y Su, H Zhang, X Wen, X Ling, Y Yang, MR Lyu
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
12021
Steganalysis using fractal block codes and AP clustering in grayscale images
GY Kang, YX Su, SZ Guo, RX Guo, ZM Lu
Journal of Electronic Science and Technology 9 (4), 312-316, 2011
12011
AEON: A Method for Automatic Evaluation of NLP Test Cases
J Huang, J Zhang, W Wang, P He, Y Su, MR Lyu
arXiv preprint arXiv:2205.06439, 2022
2022
Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems
T Yang, J Shen, Y Su, X Ren, Y Yang, MR Lyu
arXiv preprint arXiv:2204.09670, 2022
2022
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