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Robert Mullins

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

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

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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

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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

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