Fault sneaking attack: A stealthy framework for misleading deep neural networks P Zhao, S Wang, C Gongye, Y Wang, Y Fei, X Lin Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 89 | 2019 |
Defensive dropout for hardening deep neural networks under adversarial attacks S Wang, X Wang, P Zhao, W Wen, D Kaeli, P Chin, X Lin (Best Paper Candidate, ICCAD 2018) Proceedings of the International …, 2018 | 83 | 2018 |
E-RNN: Design optimization for efficient recurrent neural networks in FPGAs Z Li, C Ding, S Wang, W Wen, Y Zhuo, C Liu, Q Qiu, W Xu, X Lin, X Qian, ... (HPCA 2019) IEEE International Symposium on High Performance Computer …, 2019 | 82 | 2019 |
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge G Yuan, X Ma, W Niu, Z Li, Z Kong, N Liu, Y Gong, Z Zhan, C He, Q Jin, ... (Spotlight Paper) Advances in Neural Information Processing Systems 34, 2021 | 79 | 2021 |
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition P Dong, S Wang, W Niu, C Zhang, S Lin, Z Li, Y Gong, B Ren, X Lin, ... DAC 2020, 2020 | 57 | 2020 |
Protecting neural networks with hierarchical random switching: Towards better robustness-accuracy trade-off for stochastic defenses X Wang, S Wang, PY Chen, Y Wang, B Kulis, X Lin, P Chin IJCAI 2019, 2019 | 56 | 2019 |
Aircraft recognition based on landmark detection in remote sensing images A Zhao, K Fu, S Wang, J Zuo, Y Zhang, Y Hu, H Wang IEEE Geoscience and Remote Sensing Letters 14 (8), 1413-1417, 2017 | 50 | 2017 |
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent P Zhao, PY Chen, S Wang, X Lin AAAI 2020, 2020 | 45 | 2020 |
Defending dnn adversarial attacks with pruning and logits augmentation S Wang, X Wang, S Ye, P Zhao, X Lin 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 41* | 2018 |
Block Switching: A Stochastic Approach for Deep Learning Security X Wang, S Wang, PY Chen, X Lin, P Chin KDD 2019 AdvML workshop, 2020 | 29 | 2020 |
Robust destriping of MODIS and hyperspectral data using a hybrid unidirectional total variation model G Zhou, H Fang, C Lu, S Wang, Z Zuo, J Hu Optik 126 (7-8), 838-845, 2015 | 23 | 2015 |
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks S Wang, X Wang, PY Chen, P Zhao, X Lin IJCAI 2021, 2021 | 22 | 2021 |
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks Y Wang, Z Zhan, L Zhao, J Tang, S Wang, J Li, B Yuan, W Wen, X Lin Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2019) 33 …, 2019 | 15 | 2019 |
Effective classification of local climate zones based on multi-source remote sensing data H Jing, Y Feng, W Zhang, Y Zhang, S Wang, K Fu, K Chen IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 14 | 2019 |
Intrinsic examples: Robust fingerprinting of deep neural networks S Wang, P Zhao, X Wang, S Chin, T Wahl, Y Fei, QA Chen, X Lin British Machine Vision Conference (BMVC), 2021 | 9 | 2021 |
Combined calibration method based on rational function model for the Chinese GF-1 wide-field-of-view imagery T Wang, G Zhang, Y Jiang, S Wang, W Huang, L Li Photogrammetric Engineering & Remote Sensing 82 (4), 291-298, 2016 | 8 | 2016 |
A river channel extraction method for urban environments based on terrain transition lines L Qin, W Xu, Y Tian, B Chen, S Wang Water Resources Research 54 (7), 4887-4900, 2018 | 7 | 2018 |
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks X Wang, S Wang, PY Chen, X Lin, P Chin ICASSP 2020, 2020 | 5 | 2020 |
Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems S Wang, G Yuan, X Ma, Y Li, X Lin, B Kailkhura DATE 2022, 2022 | 4 | 2022 |
Aerial image and map synthesis using generative adversarial networks J Gu, Y Zhang, W Zhang, H Yu, S Wang, Y Wang, L Wang IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 3 | 2019 |