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IDEAL: Query-Efficient Data-Free Learning from Black-box Models

23 May 2022

Papers citing "IDEAL: Query-Efficient Data-Free Learning from Black-box Models"

31 / 31 papers shown

Title
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 175 96 0 27 Jun 2023
DENSE: Data-Free One-Shot Federated Learning Jie M. Zhang Chen Chen Yue Liu Lingjuan Lyu Shuang Wu Shouhong Ding Chunhua Shen Chao Wu FedML DD 106 111 0 23 Dec 2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data Gongfan Fang Yifan Bao Mingli Song Xinchao Wang Don Xie Chengchao Shen Xiuming Zhang 74 44 0 27 Oct 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Yue Liu Xingjun Ma OnRL 78 334 0 22 Oct 2021
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs Xingliang Yuan Xuanli He Lingjuan Lyu Zhuang Li Gholamreza Haffari MLAU 64 23 0 29 Aug 2021
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model Zehao Wang 45 44 0 07 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation Shuai Wang Kun Zhang Le Wu Haiping Ma Richang Hong Meng Wang 43 30 0 31 May 2021
Contrastive Model Inversion for Data-Free Knowledge Distillation Gongfan Fang Mingli Song Xinchao Wang Chen Shen Xingen Wang Xiuming Zhang 49 81 0 18 May 2021
Delving into Data: Effectively Substitute Training for Black-box Attack Wenxuan Wang Bangjie Yin Taiping Yao Li Zhang Yanwei Fu Shouhong Ding Jilin Li Feiyue Huang Xiangyang Xue AAML 99 64 0 26 Apr 2021
DE-RRD: A Knowledge Distillation Framework for Recommender System SeongKu Kang Junyoung Hwang Wonbin Kweon Hwanjo Yu 51 82 0 08 Dec 2020
Data-Free Model Extraction Jean-Baptiste Truong Pratyush Maini R. Walls Nicolas Papernot MIACV 77 188 0 30 Nov 2020
Interpretable Foreground Object Search As Knowledge Distillation Boren Li Po-Yu Zhuang Jian Gu Mingyang Li P. Tan 33 6 0 20 Jul 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 105 2,960 0 09 Jun 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 69 152 0 06 May 2020
Heterogeneous Knowledge Distillation using Information Flow Modeling Nikolaos Passalis Maria Tzelepi Anastasios Tefas 61 139 0 02 May 2020
Inter-Region Affinity Distillation for Road Marking Segmentation Yuenan Hou Zheng Ma Chunxiao Liu Tak-Wai Hui Chen Change Loy 68 123 0 11 Apr 2020
More Grounded Image Captioning by Distilling Image-Text Matching Model Yuanen Zhou Meng Wang Daqing Liu Zhenzhen Hu Hanwang Zhang 62 126 0 01 Apr 2020
DaST: Data-free Substitute Training for Adversarial Attacks Mingyi Zhou Jing Wu Yipeng Liu Shuaicheng Liu Ce Zhu 71 144 0 28 Mar 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN Jingwen Ye Yixin Ji Xinchao Wang Xin Gao Xiuming Zhang 95 53 0 20 Mar 2020
Generative Low-bitwidth Data Free Quantization Shoukai Xu Haokun Li Bohan Zhuang Jing Liu Jingyun Liang Chuangrun Liang Mingkui Tan MQ 51 127 0 07 Mar 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 69 565 0 18 Dec 2019
The Knowledge Within: Methods for Data-Free Model Compression Matan Haroush Itay Hubara Elad Hoffer Daniel Soudry 47 108 0 03 Dec 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching P. Micaelli Amos Storkey 54 230 0 23 May 2019
Dream Distillation: A Data-Independent Model Compression Framework Kartikeya Bhardwaj Naveen Suda R. Marculescu DD 54 54 0 17 May 2019
Data-Free Learning of Student Networks Hanting Chen Yunhe Wang Chang Xu Zhaohui Yang Chuanjian Liu Boxin Shi Chunjing Xu Chao Xu Qi Tian FedML 53 371 0 02 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 586 10,561 0 12 Dec 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,660 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 308 3,887 0 19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,386 0 04 Sep 2014