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Model Architecture Adaption for Bayesian Neural Networks


Feb 09, 2022
Duo Wang, Yiren Zhao, Ilia Shumailov, Robert Mullins


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DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning


Oct 31, 2021
Robert Hönig, Yiren Zhao, Robert Mullins

* 10 pages, 5 figures, submitted to ICLR 2022 

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Rapid Model Architecture Adaption for Meta-Learning


Sep 10, 2021
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolo Fusi, Robert Mullins


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Nudge Attacks on Point-Cloud DNNs


Nov 22, 2020
Yiren Zhao, Ilia Shumailov, Robert Mullins, Ross Anderson


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Learned Low Precision Graph Neural Networks


Sep 19, 2020
Yiren Zhao, Duo Wang, Daniel Bates, Robert Mullins, Mateja Jamnik, Pietro Lio


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Sponge Examples: Energy-Latency Attacks on Neural Networks


Jun 05, 2020
Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert Mullins, Ross Anderson


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Probabilistic Dual Network Architecture Search on Graphs


Mar 21, 2020
Yiren Zhao, Duo Wang, Xitong Gao, Robert Mullins, Pietro Lio, Mateja Jamnik


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Towards Certifiable Adversarial Sample Detection


Feb 20, 2020
Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross Anderson


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Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs


Oct 21, 2019
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert Mullins, Peter Y. K. Cheung, George Constantinides, Cheng-Zhong Xu

* To be published in International Conference on Field Programmable Technology 2019 

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Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information


Sep 06, 2019
Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert Mullins, Ross Anderson


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Efficient and Effective Quantization for Sparse DNNs


Mar 07, 2019
Yiren Zhao, Xitong Gao, Daniel Bates, Robert Mullins, Cheng-Zhong Xu

* Better size/accuracy trade-off of compressed sparse models with focused quantization. 10 pages, 5 figures, 4 tables 

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Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs


Mar 04, 2019
Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse Beu, Matthew Mattina, Robert Mullins

* HPCA.EMC2 Feb 17, 2019 

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Sitatapatra: Blocking the Transfer of Adversarial Samples


Jan 23, 2019
Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert Mullins, Ross Anderson, Cheng-Zhong Xu


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The Taboo Trap: Behavioural Detection of Adversarial Samples


Nov 18, 2018
Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross Anderson


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Dynamic Channel Pruning: Feature Boosting and Suppression


Oct 12, 2018
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert Mullins, Cheng-zhong Xu

* 13 pages, 5 figures, 3 tables, under review as a conference paper at ICLR 2019 

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To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression


Sep 29, 2018
Yiren Zhao, Ilia Shumailov, Robert Mullins, Ross Anderson

* Submitted to SysML 2019 

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