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Adversarial Attacks on ML Defense Models Competition



Yinpeng Dong , Qi-An Fu , Xiao Yang , Wenzhao Xiang , Tianyu Pang , Hang Su , Jun Zhu , Jiayu Tang , Yuefeng Chen , XiaoFeng Mao , Yuan He , Hui Xue , Chao Li , Ye Liu , Qilong Zhang , Lianli Gao , Yunrui Yu , Xitong Gao , Zhe Zhao , Daquan Lin , Jiadong Lin , Chuanbiao Song , Zihao Wang , Zhennan Wu , Yang Guo , Jiequan Cui , Xiaogang Xu , Pengguang Chen

* Competition Report 

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Rapid Model Architecture Adaption for Meta-Learning



Yiren Zhao , Xitong Gao , Ilia Shumailov , Nicolo Fusi , Robert Mullins


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LAFEAT: Piercing Through Adversarial Defenses with Latent Features



Yunrui Yu , Xitong Gao , Cheng-Zhong Xu

* Accepted as an oral paper in Conference on Computer Vision and Pattern Recognition (CVPR) 2021. 11 pages, 6 figures, 3 tables 

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Probabilistic Dual Network Architecture Search on Graphs



Yiren Zhao , Duo Wang , Xitong Gao , Robert Mullins , Pietro Lio , Mateja Jamnik


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Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs



Yiren Zhao , Xitong Gao , Xuan Guo , Junyi Liu , Erwei Wang , Robert Mullins , Peter Y. K. Cheung , George Constantinides , Cheng-Zhong Xu

* To be published in International Conference on Field Programmable Technology 2019 

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Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information



Yiren Zhao , Ilia Shumailov , Han Cui , Xitong Gao , Robert Mullins , Ross Anderson


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Efficient and Effective Quantization for Sparse DNNs



Yiren Zhao , Xitong Gao , Daniel Bates , Robert Mullins , Cheng-Zhong Xu

* Better size/accuracy trade-off of compressed sparse models with focused quantization. 10 pages, 5 figures, 4 tables 

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Sitatapatra: Blocking the Transfer of Adversarial Samples



Ilia Shumailov , Xitong Gao , Yiren Zhao , Robert Mullins , Ross Anderson , Cheng-Zhong Xu


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Dynamic Channel Pruning: Feature Boosting and Suppression



Xitong Gao , Yiren Zhao , Lukasz Dudziak , Robert Mullins , Cheng-zhong Xu

* 13 pages, 5 figures, 3 tables, under review as a conference paper at ICLR 2019 

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