Private Model Compression via Knowledge Distillation

13 November 2018

Lichao Sun

Philip S. Yu

Papers citing "Private Model Compression via Knowledge Distillation"

20 / 20 papers shown

Title
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 35 8 0 27 Feb 2023
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 31 3 0 16 Dec 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 25 12 0 23 Aug 2022
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation Xingning Dong Tian Gan Xuemeng Song Jianlong Wu Yuan Cheng Liqiang Nie 24 92 0 18 Mar 2022
MobileFaceSwap: A Lightweight Framework for Video Face Swapping Zhi-liang Xu Zhibin Hong Changxing Ding Zhen Zhu Junyu Han Jingtuo Liu Errui Ding CVBM 27 48 0 11 Jan 2022
Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation Yang Peng Ping Liu Yawei Luo Pan Zhou Zichuan Xu Jingen Liu OOD 23 0 0 28 Nov 2021
How and When Adversarial Robustness Transfers in Knowledge Distillation? Rulin Shao Ming Zhou C. Bezemer Cho-Jui Hsieh AAML 32 17 0 22 Oct 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 32 100 0 10 Aug 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 26 42 0 25 May 2021
Knowledge Distillation as Semiparametric Inference Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 40 31 0 20 Apr 2021
Compact CNN Structure Learning by Knowledge Distillation Waqar Ahmed Andrea Zunino Pietro Morerio Vittorio Murino 38 5 0 19 Apr 2021
An Information-Theoretic Justification for Model Pruning Berivan Isik Tsachy Weissman Albert No 95 35 0 16 Feb 2021
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 31 106 0 11 Sep 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 39 161 0 06 Aug 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 23 2,857 0 09 Jun 2020
BiDet: An Efficient Binarized Object Detector Ziwei Wang Ziyi Wu Jiwen Lu Jie Zhou MQ 62 64 0 09 Mar 2020
Reviewing and Improving the Gaussian Mechanism for Differential Privacy Jun Zhao Teng Wang Tao Bai Kwok-Yan Lam Zhiying Xu Shuyu Shi Xuebin Ren Xinyu Yang Yang Liu Han Yu 44 30 0 27 Nov 2019
Membership Privacy for Machine Learning Models Through Knowledge Transfer Virat Shejwalkar Amir Houmansadr 22 10 0 15 Jun 2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Alex Cloninger H. Esmaeilzadeh MQ 26 8 0 14 Jun 2019
Copying Machine Learning Classifiers Irene Unceta Jordi Nin O. Pujol 14 18 0 05 Mar 2019