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The proliferation of deep learning (DL) has led to the emergence of privacy and security concerns.
Founding crytpography on oblivious transfer
Joe Kilian · 1988
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Efficient multiparty protocols using circuit randomization
Donald Beaver · 1991
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Practical and secure solutions for integer comparison
Juan Garay et al · 2007
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Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
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Adaptively secure garbling with applications to one-time programs and secure outsourcing
Mihir Bellare et al · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky et al · 2012
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Aby-a framework for efficient mixed-protocol secure two-party computation
Daniel Demmler et al · 2015
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Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy
Ran Gilad-Bachrach et al · 2016
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Deep residual learning for image recognition
Kaiming He et al · 2016
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Darts: Differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler et al · 2018
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Efficient approximate solution path algorithm for order weight l_1-norm with accuracy guarantee
Runxue Bao, Bin Gu, and Heng Huang · 2019
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Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, and Yiyu Shi · 2020
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Intermittent inference with nonuniformly compressed multi-exit neural network for energy harvesting powered devices
Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, and Jingtong Hu · 2020
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Enabling on-device cnn training by self-supervised instance filtering and error map pruning
Yawen Wu, Zhepeng Wang, Yiyu Shi, and Jingtong Hu · 2020
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Cryptflow: Secure tensorflow inference
Nishant Kumar et al · 2020
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Cryptonas: Private inference on a relu budget
Zahra Ghodsi et al · 2020
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Delphi: A cryptographic inference service for neural networks
Pratyush Mishra et al · 2020
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Safenet: A secure, accurate and fast neural network inference
Qian Lou et al · 2020
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Crypten: Secure multi-party computation meets machine learning
Brian Knott et al · 2021
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Deepreduce: Relu reduction for fast private inference
Nandan Kumar Jha et al · 2021
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Cryptgpu: Fast privacy-preserving machine learning on the gpu
Sijun Tan et al · 2021
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A length adaptive algorithm-hardware co-design of transformer on fpga through sparse attention and dynamic pipelining
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, et al · 2022
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Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, and Carl Yang · 2022
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Federated contrastive learning for volumetric medical image segmentation
Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, and Jingtong Hu · 2021
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Lightweight run-time working memory compression for deployment of deep neural networks on resource-constrained mcus
Zhepeng Wang, Yawen Wu, Zhenge Jia, Yiyu Shi, and Jingtong Hu · 2021
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Federated contrastive learning for dermatological disease diagnosis via on-device learning
Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J James, Yiyu Shi, and Jingtong Hu · 2021
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Hmc-tran: A tensor-core inspired hierarchical model compression for transformer-based dnns on gpu
Shaoyi Huang, Shiyang Chen, Hongwu Peng, Daniel Manu, Zhenglun Kong, Geng Yuan, Lei Yang, Shusen Wang, Hang Liu, and Caiwen Ding · 2021
Cited alongside, same era.
Accommodating transformer onto fpga: Coupling the balanced model compression and fpga-implementation optimization
Panjie Qi, Yuhong Song, Hongwu Peng, Shaoyi Huang, Qingfeng Zhuge, and Edwin Hsing-Mean Sha · 2021
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Improving dnn fault tolerance using weight pruning and differential crossbar mapping for reram-based edge ai
Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, et al · 2021
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Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, and Caiwen Ding · 2022
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An automatic and efficient bert pruning for edge ai systems
Shaoyi Huang, Ning Liu, Yueying Liang, Hongwu Peng, Hongjia Li, Dongkuan Xu, Mimi Xie, and Caiwen Ding · 2022
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Doubly sparse asynchronous learning for stochastic composite optimization
Runxue Bao, Xidong Wu, Wenhan Xian, and Heng Huang · 2022
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An accelerated doubly stochastic gradient method with faster explicit model identification
Runxue Bao, Bin Gu, and Heng Huang · 2022
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Radars: memory efficient reinforcement learning aided differentiable neural architecture search
Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, and Yiyu Shi · 2022
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Dynamic sparse training via balancing the exploration-exploitation trade-off
Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, and Caiwen Ding · 2022
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Fbnetgen: Task-aware gnn-based fmri analysis via functional brain network generation
Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, and Carl Yang · 2022
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Codg-reram: An algorithm-hardware co-design to accelerate semi-structured gnns on reram
Yixuan Luo, Payman Behnam, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding, et al · 2022
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Selective network linearization for efficient private inference
Minsu Cho et al · 2022
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