Pub

publications by categories in reversed chronological order. generated by jekyll-scholar.

2022

  1. DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
    Robert Hönig, Yiren Zhao, and Robert Mullins
    In International Conference on Machine Learning, 2022
  2. Model Architecture Adaption for Bayesian Neural Networks
    Duo Wang, Yiren Zhao, Ilia Shumailov, and 1 more author
    arXiv preprint arXiv:2202.04392, 2022
  3. Architectural Backdoors in Neural Networks
    Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, and 2 more authors
    arXiv preprint arXiv:2206.07840, 2022
  4. Efficient Adversarial Training With Data Pruning
    Maximilian Kaufmann, Yiren Zhao, Ilia Shumailov, and 2 more authors
    arXiv preprint arXiv:2207.00694, 2022
  5. Software and Hardware Co-design for Efficient Neural Networks
    Aaron Zhao
    University of Cambridge, 2022
  6. Augmentation Backdoors
    Joseph Rance, Yiren Zhao, Ilia Shumailov, and 1 more author
    arXiv preprint arXiv:2209.15139, 2022
  7. ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks
    Tim Clifford, Ilia Shumailov, Yiren Zhao, and 2 more authors
    arXiv preprint arXiv:2210.00108, 2022
  8. Wide Attention Is The Way Forward For Transformers
    Jason Ross Brown, Yiren Zhao, Ilia Shumailov, and 1 more author
    arXiv preprint arXiv:2210.00640, 2022
  9. DARTFormer: Finding The Best Type Of Attention
    Jason Ross Brown, Yiren Zhao, Ilia Shumailov, and 1 more author
    arXiv preprint arXiv:2210.00641, 2022
  10. Revisiting Structured Dropout
    Yiren Zhao, Oluwatomisin Dada, Xitong Gao, and 1 more author
    arXiv preprint arXiv:2210.02570, 2022
  11. Revisiting Embeddings for Graph Neural Networks
    Skye Purchase, Aaron Zhao, and Robert D Mullins
    In Learning on Graphs Conference, 2022

2021

  1. Sponge examples: Energy-latency attacks on neural networks
    Ilia Shumailov, Yiren Zhao, Daniel Bates, and 3 more authors
    In 2021 IEEE European Symposium on Security and Privacy (EuroS&P), 2021
  2. Manipulating sgd with data ordering attacks
    Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, and 4 more authors
    Advances in Neural Information Processing Systems, 2021
  3. Markpainting: Adversarial Machine Learning meets Inpainting
    David Khachaturov, Ilia Shumailov, Yiren Zhao, and 2 more authors
    In 38th International Conference on Machine Learning, 2021
  4. Rapid Model Architecture Adaption for Meta-Learning
    Yiren Zhao, Xitong Gao, Ilia Shumailov, and 2 more authors
    arXiv preprint arXiv:2109.04925, 2021
  5. FedDrop: Trajectory-weighted Dropout for Efficient Federated Learning
    Dongping Liao, Xitong Gao, Yiren Zhao, and 6 more authors
    2021

2020

  1. Blackbox attacks on reinforcement learning agents using approximated temporal information
    Yiren Zhao, Ilia Shumailov, Han Cui, and 3 more authors
    In 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2020
  2. Towards certifiable adversarial sample detection
    Ilia Shumailov, Yiren Zhao, Robert Mullins, and 1 more author
    In Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020
  3. Pay Attention to Features, Transfer Learn Faster CNNs
    Kafeng Wang, Xitong Gao, Yiren Zhao, and 3 more authors
    In International Conference on Learning Representations, 2020
  4. Probabilistic Dual Network Architecture Search on Graphs
    Yiren Zhao, Duo Wang, Xitong Gao, and 3 more authors
    arXiv preprint arXiv:2003.09676, 2020
  5. Learned Low Precision Graph Neural Networks
    Yiren Zhao, Duo Wang, Daniel Bates, and 3 more authors
    arXiv preprint arXiv:2009.09232, 2020
  6. Nudge Attacks on Point-Cloud DNNs
    Yiren Zhao, Ilia Shumailov, Robert Mullins, and 1 more author
    arXiv preprint arXiv:2011.11637, 2020
  7. Adjusting activation compression for neural network training
    Daniel Lo, Bita Darvish Rouhani, Eric S Chung, and 3 more authors
    Aug 2020
    US Patent App. 16/276,395
  8. Neural network activation compression with non-uniform mantissas
    Daniel Lo, Amar Phanishayee, Eric S Chung, and 1 more author
    Jul 2020
    US Patent App. 16/256,998
  9. Neural network activation compression with narrow block floating-point
    Daniel Lo, Amar Phanishayee, Eric S Chung, and 2 more authors
    Jul 2020
    US Patent App. 16/237,197
  10. Neural network activation compression with outlier block floating-point
    Daniel Lo, Amar Phanishayee, Eric S Chung, and 2 more authors
    Jul 2020
    US Patent App. 16/237,202

2019

  1. Dynamic Channel Pruning: Feature Boosting and Suppression
    Xitong Gao, Yiren Zhao, Lukasz Dudziak, and 2 more authors
    In International Conference on Learning Representations (ICLR), Jul 2019
  2. Sitatapatra: Blocking the Transfer of Adversarial Samples
    Ilia Shumailov, Xitong Gao, Yiren Zhao, and 3 more authors
    arXiv preprint arXiv:1901.08121, Jul 2019
  3. Focused quantization for sparse CNNs
    Yiren Zhao, Xitong Gao, Daniel Bates, and 2 more authors
    In Advances in Neural Information Processing Systems, Jul 2019
  4. Characterizing Sources of Ineffectual Computations in Deep Learning Networks
    Miloš Nikolić, Mostafa Mahmoud, Andreas Moshovos, and 2 more authors
    In 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Jul 2019
  5. Automatic generation of multi-precision multi-arithmetic CNN accelerators for FPGAs
    Yiren Zhao, Xitong Gao, Xuan Guo, and 6 more authors
    In 2019 International Conference on Field-Programmable Technology (ICFPT), Jul 2019
  6. ukasz Dudziak, R
    X Gao, and Y Zhao
    In Mullins, and C. zhong Xu,“Dynamic channel pruning: Feature boosting and suppression,” in International Conference on Learning Representations, Jul 2019
  7. Efficient and effective quantization for sparse dnns
    Yiren Zhao, Xitong Gao, Daniel Bates, and 2 more authors
    Jul 2019

2018

  1. Redundancy-reduced MobileNet acceleration on reconfigurable logic for ImageNet classification
    Jiang Su, Julian Faraone, Junyi Liu, and 4 more authors
    In International Symposium on Applied Reconfigurable Computing, Jul 2018
  2. Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks
    Yiren Zhao, Xitong Gao, Robert Mullins, and 1 more author
    In Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning (EMDL 2018), Jul 2018
  3. To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression
    Yiren Zhao, Ilia Shumailov, Robert Mullins, and 1 more author
    In The Conference on Systems and Machine Learning (SysML), Jul 2018
  4. The Taboo Trap: Behavioural Detection of Adversarial Samples
    Ilia Shumailov, Yiren Zhao, Robert Mullins, and 1 more author
    arXiv preprint arXiv:1811.07375, Jul 2018

2016

  1. An efficient implementation of online arithmetic
    Yiren Zhao, John Wickerson, and George A Constantinides
    In 2016 International Conference on Field-Programmable Technology (FPT), Jul 2016