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ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks


Oct 04, 2022
Tim Clifford, Ilia Shumailov, Yiren Zhao, Ross Anderson, Robert Mullins

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* 10 pages, 6 figures. For website see https://mlbackdoors.soc.srcf.net . For source code, see https://git.sr.ht/~tim-clifford/impnet_source 

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Augmentation Backdoors


Sep 29, 2022
Joseph Rance, Yiren Zhao, Ilia Shumailov, Robert Mullins

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* 12 pages, 8 figures 

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Efficient Adversarial Training With Data Pruning


Jul 01, 2022
Maximilian Kaufmann, Yiren Zhao, Ilia Shumailov, Robert Mullins, Nicolas Papernot

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Architectural Backdoors in Neural Networks


Jun 15, 2022
Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot

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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

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* 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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