v1v2v3 (latest)

Data-Free Adversarial Distillation

23 December 2019

ArXiv (abs)PDF HTML Github (99★)

Papers citing "Data-Free Adversarial Distillation"

48 / 48 papers shown

Title
Forget the Data and Fine-Tuning! Just Fold the Network to Compress Dong Wang Haris Šikić Lothar Thiele O. Saukh 152 1 0 17 Feb 2025
Training-Free Restoration of Pruned Neural Networks Keonho Lee Minsoo Kim Dong-Wan Choi 92 0 0 06 Feb 2025
Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification Yunyi Xuan Weijie Chen Shicai Yang Di Xie Luojun Lin Yueting Zhuang VLM 109 4 0 21 Jul 2024
Data-free Knowledge Distillation for Fine-grained Visual Categorization Renrong Shao Wei Zhang Jianhua Yin Jun Wang 61 3 0 18 Apr 2024
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning Changlin Song Divya Saxena Jiannong Cao Yuqing Zhao FedML 98 3 0 14 Apr 2024
Causal-DFQ: Causality Guided Data-free Network Quantization Yuzhang Shang Bingxin Xu Gaowen Liu Ramana Rao Kompella Yan Yan MQ CML 92 8 0 24 Sep 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo Zhao Dacheng Tao VLM 113 23 0 17 Jul 2023
Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation Chuanguang Yang Xinqiang Yu Zhulin An Yongjun Xu VLM OffRL 193 26 0 19 Jun 2023
Lion: Adversarial Distillation of Proprietary Large Language Models Yuxin Jiang Chunkit Chan Yin Hua Wei Wang ALM 108 25 0 22 May 2023
Explicit and Implicit Knowledge Distillation via Unlabeled Data Yuzheng Wang Zuhao Ge Zhaoyu Chen Xiangjian Liu Chuang Ma Yunquan Sun Lizhe Qi 110 10 0 17 Feb 2023
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation Kien Do Hung Le D. Nguyen Dang Nguyen Haripriya Harikumar T. Tran Santu Rana Svetha Venkatesh 68 33 0 21 Sep 2022
Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning Strategy Jingru Li Sheng Zhou Liangcheng Li Haishuai Wang Zhi Yu Jiajun Bu 88 14 0 29 Aug 2022
Dense Depth Distillation with Out-of-Distribution Simulated Images Junjie Hu Chenyou Fan Mete Ozay Hualie Jiang Tin Lun Lam 78 5 0 26 Aug 2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features Yiming Li Linghui Zhu Xiaojun Jia Yang Bai Yong Jiang Shutao Xia Xiaochun Cao Kui Ren AAML 103 14 0 04 Aug 2022
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing Zhiwei Hao Yong Luo Zhi Wang Han Hu J. An 97 28 0 24 May 2022
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning Fanfan Ye Liang Ma Qiaoyong Zhong Di Xie Shiliang Pu BDL CLL 45 2 0 23 May 2022
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks Yu-Lin Zhuang Lingjuan Lyu Chuan Shi Carl Yang Lichao Sun 63 18 0 08 May 2022
Synthesizing Informative Training Samples with GAN Bo Zhao Hakan Bilen DD 128 78 0 15 Apr 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 90 268 0 17 Mar 2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks Chi Hong Jiyue Huang L. Chen 65 2 0 31 Jan 2022
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay Kuluhan Binici Shivam Aggarwal N. Pham K. Leman T. Mitra TTA 110 48 0 09 Jan 2022
Conditional Generative Data-free Knowledge Distillation Xinyi Yu Ling Yan Yang Yang Libo Zhou Linlin Ou 76 8 0 31 Dec 2021
Data-Free Knowledge Transfer: A Survey Yuang Liu Wei Zhang Jun Wang Jianyong Wang 119 48 0 31 Dec 2021
$Up to 100$\times$ Faster Data-free Knowledge Distillation$ Up to 100 $\times$ Faster Data-free Knowledge Distillation Gongfan Fang Kanya Mo Xinchao Wang Mingli Song Shitao Bei Haofei Zhang Xiuming Zhang DD 89 4 0 12 Dec 2021
Defending against Model Stealing via Verifying Embedded External Features Yiming Li Linghui Zhu Xiaojun Jia Yong Jiang Shutao Xia Xiaochun Cao AAML 88 65 0 07 Dec 2021
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation Jin Hong Yudong Zhang Weitian Chen OOD MedIm 118 86 0 24 Nov 2021
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples Kanghyun Choi Deokki Hong Noseong Park Youngsok Kim Jinho Lee MQ 71 67 0 04 Nov 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 97 44 0 27 Oct 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models Lan Zhang Dapeng Wu Xiaoyong Yuan FedML 83 49 0 08 Sep 2021
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data Kuluhan Binici N. Pham T. Mitra K. Leman 84 42 0 11 Aug 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI T. Miura Satoshi Hasegawa Toshiki Shibahara SILM MIACV 81 39 0 19 Jul 2021
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression Baozhou Zhu P. Hofstee J. Peltenburg Jinho Lee Zaid Al-Ars 84 23 0 25 May 2021
Contrastive Model Inversion for Data-Free Knowledge Distillation Gongfan Fang Mingli Song Xinchao Wang Chen Shen Xingen Wang Xiuming Zhang 69 82 0 18 May 2021
Dataset Inference: Ownership Resolution in Machine Learning Pratyush Maini Mohammad Yaghini Nicolas Papernot FedML 150 110 0 21 Apr 2021
Source-Free Domain Adaptation for Semantic Segmentation Yuang Liu Wei Zhang Jun Wang 80 256 0 30 Mar 2021
Zero-shot Adversarial Quantization Yuang Liu Wei Zhang Jun Wang MQ 114 79 0 29 Mar 2021
Distilling Object Detectors via Decoupled Features Jianyuan Guo Kai Han Yunhe Wang Han Wu Xinghao Chen Chunjing Xu Chang Xu 113 203 0 26 Mar 2021
Training Generative Adversarial Networks in One Stage Chengchao Shen Youtan Yin Xinchao Wang Xubin Li Mingli Song Xiuming Zhang GAN 111 13 0 28 Feb 2021
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation Kenneth Borup L. Andersen 75 15 0 25 Feb 2021
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation Xiaoyang Qu Jianzong Wang Jing Xiao 73 14 0 23 Feb 2021
Large-Scale Generative Data-Free Distillation Liangchen Luo Mark Sandler Zi Lin A. Zhmoginov Andrew G. Howard 92 43 0 10 Dec 2020
Progressive Network Grafting for Few-Shot Knowledge Distillation Chengchao Shen Xinchao Wang Youtan Yin Mingli Song Sihui Luo Xiuming Zhang 91 49 0 09 Dec 2020
Data-Free Model Extraction Jean-Baptiste Truong Pratyush Maini R. Walls Nicolas Papernot MIACV 95 189 0 30 Nov 2020
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing Yuhang Li Feng Zhu Ruihao Gong Mingzhu Shen Xin Dong F. Yu Shaoqing Lu Shi Gu MQ 104 40 0 19 Nov 2020
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer Chen Zhu Zheng Xu Ali Shafahi Manli Shu Amin Ghiasi Tom Goldstein MQ 61 3 0 14 Oct 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 77 153 0 06 May 2020
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation Mitchell A. Gordon Kevin Duh CLL VLM 89 13 0 05 Mar 2020
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 306 4,688 0 17 Feb 2017