Yiren (Aaron) Zhao
Yiren (Aaron) Zhao
Other namesYiren Zhao, Aaron Zhao
Imperial College London, University of Cambridge
Verified email at - Homepage
Cited by
Cited by
Dynamic Channel Pruning: Feature Boosting and Suppression
X Gao, Y Zhao, L Dudziak, R Mullins, C Xu
International Conference on Learning Representations (ICLR), 2019
The Curse of Recursion: Training on Generated Data Makes Models Forget
I Shumailov, Z Shumaylov, Y Zhao, Y Gal, N Papernot, R Anderson
arXiv preprint arxiv:2305.17493, 2023
Pay Attention to Features, Transfer Learn Faster CNNs
K Wang, X Gao, Y Zhao, X Li, D Dou, CZ Xu
International Conference on Learning Representations, 2020
Sponge examples: Energy-latency attacks on neural networks
I Shumailov, Y Zhao, D Bates, N Papernot, R Mullins, R Anderson
2021 IEEE European Symposium on Security and Privacy (EuroS&P), 212-231, 2021
Manipulating sgd with data ordering attacks
I Shumailov, Z Shumaylov, D Kazhdan, Y Zhao, N Papernot, MA Erdogdu, ...
Advances in Neural Information Processing Systems 34, 18021-18032, 2021
Redundancy-reduced mobilenet acceleration on reconfigurable logic for imagenet classification
J Su, J Faraone, J Liu, Y Zhao, DB Thomas, PHW Leong, PYK Cheung
Applied Reconfigurable Computing. Architectures, Tools, and Applications …, 2018
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression
Y Zhao, I Shumailov, R Mullins, R Anderson
The Conference on Systems and Machine Learning (SysML), 2018
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
R Hönig, Y Zhao, R Mullins
International Conference on Machine Learning, 8852-8866, 2022
Automatic generation of multi-precision multi-arithmetic CNN accelerators for FPGAs
Y Zhao, X Gao, X Guo, J Liu, E Wang, R Mullins, PYK Cheung, ...
2019 International Conference on Field-Programmable Technology (ICFPT), 45-53, 2019
Adjusting activation compression for neural network training
D Lo, BD Rouhani, ES Chung, Y Zhao, A Phanishayee, R Zhao
US Patent App. 16/276,395, 2020
Learned Low Precision Graph Neural Networks
Y Zhao, D Wang, D Bates, R Mullins, M Jamnik, P Lio
arXiv preprint arXiv:2009.09232, 2020
Blackbox attacks on reinforcement learning agents using approximated temporal information
Y Zhao, I Shumailov, H Cui, X Gao, R Mullins, R Anderson
2020 50th Annual IEEE/IFIP International Conference on Dependable Systems …, 2020
Probabilistic Dual Network Architecture Search on Graphs
Y Zhao, D Wang, X Gao, R Mullins, P Lio, M Jamnik
arXiv preprint arXiv:2003.09676, 2020
Focused quantization for sparse CNNs
Y Zhao, X Gao, D Bates, R Mullins, CZ Xu
Advances in Neural Information Processing Systems, 5584-5593, 2019
Characterizing Sources of Ineffectual Computations in Deep Learning Networks
M Nikolić, M Mahmoud, A Moshovos, Y Zhao, R Mullins
2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019
An efficient implementation of online arithmetic
Y Zhao, J Wickerson, GA Constantinides
2016 International Conference on Field-Programmable Technology (FPT), 69-76, 2016
Towards certifiable adversarial sample detection
I Shumailov, Y Zhao, R Mullins, R Anderson
Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security …, 2020
The Taboo Trap: Behavioural Detection of Adversarial Samples
I Shumailov, Y Zhao, R Mullins, R Anderson
arXiv preprint arXiv:1811.07375, 2018
Neural network activation compression with narrow block floating-point
D Lo, A Phanishayee, ES Chung, Y Zhao, R Zhao
US Patent App. 16/237,197, 2020
Architectural backdoors in neural networks
M Bober-Irizar, I Shumailov, Y Zhao, R Mullins, N Papernot
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
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