Huanrui Yang
Huanrui Yang
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Dpatch: An adversarial patch attack on object detectors
X Liu, H Yang, Z Liu, L Song, H Li, Y Chen
SafeAI@ AAAI 2019, 2018
Sticker: A 0.41-62.1 TOPS/W 8Bit neural network processor with multi-sparsity compatible convolution arrays and online tuning acceleration for fully connected layers
Z Yuan, J Yue, H Yang, Z Wang, J Li, Y Yang, Q Guo, X Li, MF Chang, ...
2018 IEEE symposium on VLSI circuits, 33-34, 2018
AtomLayer: A universal ReRAM-based CNN accelerator with atomic layer computation
X Qiao, X Cao, H Yang, L Song, H Li
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
Deephoyer: Learning sparser neural network with differentiable scale-invariant sparsity measures
H Yang, W Wen, H Li
Eighth International Conference on Learning Representations, 2019
DVERGE: diversifying vulnerabilities for enhanced robust generation of ensembles
H Yang, J Zhang, H Dong, N Inkawhich, A Gardner, A Touchet, W Wilkes, ...
Advances in Neural Information Processing Systems 33 (2020), 2020
Soteria: Provable defense against privacy leakage in federated learning from representation perspective
J Sun, A Li, B Wang, H Yang, H Li, Y Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Nvit: Vision transformer compression and parameter redistribution
H Yang, H Yin, P Molchanov, H Li, J Kautz
arXiv preprint arXiv:2110.04869, 2021
Deepobfuscator: Adversarial training framework for privacy-preserving image classification
A Li, J Guo, H Yang, Y Chen
arXiv preprint arXiv:1909.04126 2 (3), 2019
TIPRDC: task-independent privacy-respecting data crowdsourcing framework for deep learning with anonymized intermediate representations
A Li, Y Duan, H Yang, Y Chen, J Yang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
MAT: A multi-strength adversarial training method to mitigate adversarial attacks
C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, Y Chen, H Li
2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 476-481, 2018
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
H Yang, L Duan, Y Chen, H Li
Ninth International Conference on Learning Representations, 2021
Learning low-rank deep neural networks via singular vector orthogonality regularization and singular value sparsification
H Yang, M Tang, W Wen, F Yan, D Hu, A Li, H Li, Y Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
DeepObfuscator: Obfuscating intermediate representations with privacy-preserving adversarial learning on smartphones
A Li, J Guo, H Yang, FD Salim, Y Chen
Proceedings of the International Conference on Internet-of-Things Design and …, 2021
TPrune: Efficient transformer pruning for mobile devices
J Mao, H Yang, A Li, H Li, Y Chen
ACM Transactions on Cyber-Physical Systems 5 (3), 1-22, 2021
APOLLO: An Automated Power Modeling Framework for Runtime Power Introspection in High-Volume Commercial Microprocessors
Z Xie, X Xu, M Walker, J Knebel, K Palaniswamy, N Hebert, J Hu, H Yang, ...
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021
Multi-objective optimization of ReRAM crossbars for robust DNN inferencing under stochastic noise
X Yang, S Belakaria, BK Joardar, H Yang, JR Doppa, PP Pande, ...
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
Bamboo: Ball-shape data augmentation against adversarial attacks from all directions
H Yang, J Zhang, HP Cheng, W Wang, Y Chen, H Li
Adversarial attack: A new threat to smart devices and how to defend it
C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, H Li
IEEE Consumer Electronics Magazine 9 (4), 49-55, 2020
Exploring bit-slice sparsity in deep neural networks for efficient ReRAM-based deployment
J Zhang, H Yang, F Chen, Y Wang, H Li
2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive …, 2019
Spn dash-fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting
KW Nixon, J Mao, J Shen, H Yang, HH Li, Y Chen
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2018
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