Selected Publication
2022
- DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning; Robert Honig, Yiren Zhao, Robert Mullins; 39th International Conference on Machine Learning (ICML 2022, video)
- Model Architecture Adaption for Bayesian Neural Networks; Duo Wang, Yiren Zhao, Ilia Shumailov, Robert Mullins
- Rapid Model Architecture Adaption for Meta-Learning; Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolo Fusi, Robert Mullins; 35th Advances in Neural Information Processing Systems (NeurIPS 2022)
2021
- Manipulating sgd with data ordering attacks; Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A Erdogdu, Ross Anderson; 34th Advances in Neural Information Processing Systems (NeurIPS 2021)
- Sponge examples: Energy-latency attacks on neural networks; Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert Mullins, Ross Anderson; 2021 IEEE European Symposium on Security and Privacy (EuroS&P 2021)
- Markpainting: Adversarial Machine Learning meets Inpainting; David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson; 38th International Conference on Machine Learning (ICML 2021)
2020
- Towards certifiable adversarial sample detection; Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross Anderson; Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security (AISec 2020)
- Learned Low Precision Graph Neural Networks; Yiren Zhao, Duo Wang, Daniel Bates, Robert Mullins, Mateja Jamnik, Pietro Lio; The 2nd Workshop on Machine Learning and Systems (EuroMLSys 2020)
- Blackbox attacks on reinforcement learning agents using approximated temporal information; Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert Mullins, Ross Anderson; 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W 2020)
- Probabilistic Dual Network Architecture Search on Graphs; Yiren Zhao, Duo Wang, Xitong Gao, Robert Mullins, Pietro Lio, Mateja Jamnik; Deep Learning on Graphs: Method and Applications (DLG-AAAI’21); best student paper
- Pay Attention to Features, Transfer Learn Faster CNNs; Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu; International Conference on Learning Representations (ICLR 2020)
2019
- Automatic generation of multi-precision multi-arithmetic CNN accelerators for FPGAs; Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert Mullins, Peter YK Cheung, George Constantinides, Cheng-Zhong Xu; International Conference on Field-Programmable Technology (ICFPT 2019)
- Characterizing Sources of Ineffectual Computations in Deep Learning Networks; Miloš Nikolić, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, Robert Mullins; 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2019)
- Focused quantization for sparse CNNs; Yiren Zhao, Xitong Gao, Daniel Bates, Robert Mullins, Cheng-Zhong Xu; Advances in Neural Information Processing Systems (NIPS 2019)
- Dynamic Channel Pruning: Feature Boosting and Suppression; Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert Mullins, Cheng-zhong Xu; International Conference on Learning Representations (ICLR 2019)
Earlier
- Redundancy-reduced MobileNet acceleration on reconfigurable logic for ImageNet classification; Jiang Su, Julian Faraone, Junyi Liu, Yiren Zhao, David B Thomas, Philip HW Leong, Peter YK Cheung; International Symposium on Applied Reconfigurable Computing (ARC)
- Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks; Yiren Zhao, Xitong Gao, Robert Mullins, Chengzhong Xu; Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning (EMDL 2018)
- An Efficient Implementation of Online Arithmetic; Yiren Zhao, John Wickerson, George A Constantinides; 2016 International Conference on Field-Programmable Technology (ICFPT 2016)
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