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1811.05072
Cited By
Private Model Compression via Knowledge Distillation
13 November 2018
Ji Wang
Weidong Bao
Lichao Sun
Xiaomin Zhu
Bokai Cao
Philip S. Yu
FedML
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Papers citing
"Private Model Compression via Knowledge Distillation"
50 / 55 papers shown
DistilLock: Safeguarding LLMs from Unauthorized Knowledge Distillation on the Edge
Asmita Mohanty
Gezheng Kang
Lei Gao
M. Annavaram
143
0
0
19 Oct 2025
Balancing Utility and Privacy: Dynamically Private SGD with Random Projection
Zhanhong Jiang
Md Zahid Hasan
Nastaran Saadati
Aditya Balu
Chao Liu
Soumik Sarkar
190
0
0
11 Sep 2025
How to Backdoor the Knowledge Distillation
Chien-Sheng Wu
Qian Ma
P. Mitra
Sencun Zhu
AAML
246
1
0
30 Apr 2025
Knowledge Distillation: Enhancing Neural Network Compression with Integrated Gradients
David E. Hernandez
J. Chang
Torbjörn E. M. Nordling
248
2
0
17 Mar 2025
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
Guangjin Pan
Yuan Gao
Yilin Gao
Wenjun Yu
Zhiyong Zhong
Xiaoyu Yang
Xinyu Guo
Shugong Xu
337
14
0
24 Jan 2025
Model Mimic Attack: Knowledge Distillation for Provably Transferable Adversarial Examples
Kirill Lukyanov
Andrew Perminov
D. Turdakov
Mikhail Pautov
AAML
170
3
0
21 Oct 2024
Dataset Distillation for Offline Reinforcement Learning
Jonathan Light
Yuanzhe Liu
Ziniu Hu
DD
349
4
0
29 Jul 2024
A Survey on Symbolic Knowledge Distillation of Large Language Models
Kamal Acharya
Alvaro Velasquez
Haoze Song
SyDa
288
24
0
12 Jul 2024
Differentially Private Knowledge Distillation via Synthetic Text Generation
James Flemings
Murali Annavaram
SyDa
409
18
0
01 Mar 2024
The two-way knowledge interaction interface between humans and neural networks
Zhanliang He
Nuoye Xiong
Hongsheng Li
Peiyi Shen
Guangming Zhu
Liang Zhang
HAI
176
1
0
10 Jan 2024
SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language Models for Private and Secure Inference
AAAI Conference on Artificial Intelligence (AAAI), 2023
Abhijit Mishra
Mingda Li
S. Deo
SILM
99
6
0
28 Dec 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Lea Demelius
Roman Kern
Andreas Trügler
SyDa
FedML
248
35
0
28 Sep 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yash Sinha
Murari Mandal
Mohan S. Kankanhalli
MU
262
18
0
28 Sep 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yong-Nam Oh
Jaeho Lee
Christopher G. Brinton
Yo-Seb Jeon
MQ
337
15
0
20 Jul 2023
Faithful Knowledge Distillation
Tom A. Lamb
Rudy Bunel
Krishnamurthy Dvijotham
M. P. Kumar
Juil Sock
Francisco Eiras
AAML
179
0
0
07 Jun 2023
Lightweight Self-Knowledge Distillation with Multi-source Information Fusion
Xucong Wang
Pengchao Han
Lei Guo
143
1
0
16 May 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation
Jing Liu
Tongya Zheng
Guanzheng Zhang
Qinfen Hao
220
15
0
27 Feb 2023
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework
Junzhuo Li
Xinwei Wu
Weilong Dong
Shuangzhi Wu
Chao Bian
Deyi Xiong
311
5
0
16 Dec 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification
IEEE Transactions on Image Processing (IEEE TIP), 2022
Yunqing Zhao
Ngai-Man Cheung
BDL
269
19
0
23 Aug 2022
Fine-grained Private Knowledge Distillation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Yuntong Li
Shaowei Wang
Yingying Wang
Jin Li
Yuqiu Qian
Bangzhou Xin
Wei Yang
231
1
0
27 Jul 2022
Differentially Private Model Compression
Neural Information Processing Systems (NeurIPS), 2022
Fatemehsadat Mireshghallah
A. Backurs
Huseyin A. Inan
Lukas Wutschitz
Janardhan Kulkarni
SyDa
155
16
0
03 Jun 2022
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
Computer Vision and Pattern Recognition (CVPR), 2022
Xingning Dong
Tian Gan
Xuemeng Song
Yue Yu
Yuan Cheng
Liqiang Nie
381
111
0
18 Mar 2022
MobileFaceSwap: A Lightweight Framework for Video Face Swapping
AAAI Conference on Artificial Intelligence (AAAI), 2022
Zhi-liang Xu
Zhibin Hong
Changxing Ding
Zhen Zhu
Junyu Han
Jingtuo Liu
Errui Ding
CVBM
221
67
0
11 Jan 2022
Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement
Yang Bai
Lixing Chen
Shaolei Ren
Jie Xu
153
0
0
11 Dec 2021
Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation
Yang Peng
Ping Liu
Yawei Luo
Pan Zhou
Zichuan Xu
Jingen Liu
OOD
174
1
0
28 Nov 2021
How and When Adversarial Robustness Transfers in Knowledge Distillation?
Rulin Shao
Ming Zhou
Cor-Paul Bezemer
Cho-Jui Hsieh
AAML
183
20
0
22 Oct 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Runhua Xu
Nathalie Baracaldo
J. Joshi
191
143
0
10 Aug 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
Conference on Computer and Communications Security (CCS), 2021
Mohammad Malekzadeh
Anastasia Borovykh
Deniz Gündüz
MIACV
225
44
0
25 May 2021
Knowledge Distillation as Semiparametric Inference
International Conference on Learning Representations (ICLR), 2021
Tri Dao
G. Kamath
Vasilis Syrgkanis
Lester W. Mackey
221
36
0
20 Apr 2021
Compact CNN Structure Learning by Knowledge Distillation
International Conference on Pattern Recognition (ICPR), 2021
Waqar Ahmed
Andrea Zunino
Pietro Morerio
Vittorio Murino
187
5
0
19 Apr 2021
An Information-Theoretic Justification for Model Pruning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Berivan Isik
Tsachy Weissman
Albert No
352
39
0
16 Feb 2021
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
M. Dedeoglu
Sen Lin
Zhaofeng Zhang
Junshan Zhang
190
2
0
22 Jan 2021
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
Shujun Wang
Yaxi Zhu
Lequan Yu
Hao Chen
Huangjing Lin
Xiangbo Wan
Xinjuan Fan
Pheng-Ann Hen
219
154
0
13 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions
Rahul Mishra
Hari Prabhat Gupta
Tanima Dutta
155
103
0
05 Oct 2020
Federated Model Distillation with Noise-Free Differential Privacy
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Lichao Sun
Lingjuan Lyu
FedML
228
122
0
11 Sep 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Proceedings of the IEEE (Proc. IEEE), 2020
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
275
176
0
06 Aug 2020
Data Minimization for GDPR Compliance in Machine Learning Models
AI and Ethics (AE), 2020
Abigail Goldsteen
Gilad Ezov
Ron Shmelkin
Micha Moffie
Ariel Farkash
170
72
0
06 Aug 2020
State-of-the-art Techniques in Deep Edge Intelligence
Ahnaf Hannan Lodhi
Barış Akgün
Öznur Özkasap
312
5
0
03 Aug 2020
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Lichao Sun
Jianwei Qian
Hang Zhang
FedML
245
253
0
31 Jul 2020
Differential Replication in Machine Learning
Irene Unceta
Jordi Nin
O. Pujol
SyDa
131
1
0
15 Jul 2020
Knowledge Distillation: A Survey
Jianping Gou
B. Yu
Stephen J. Maybank
Dacheng Tao
VLM
1.9K
3,737
0
09 Jun 2020
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification
Guile Wu
S. Gong
OOD
510
36
0
07 Jun 2020
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition
Yan Gao
Titouan Parcollet
Nicholas D. Lane
VLM
181
16
0
19 May 2020
SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System
Di Zhuang
Nam H. Nguyen
Keyu Chen
Jerome Chang
129
11
0
25 Apr 2020
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks
European Conference on Artificial Intelligence (ECAI), 2020
Di Gao
Cheng Zhuo
89
4
0
05 Apr 2020
How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference
Tai Vu
Emily Wen
Roy Nehoran
127
8
0
30 Mar 2020
BiDet: An Efficient Binarized Object Detector
Computer Vision and Pattern Recognition (CVPR), 2020
Ziwei Wang
Ziyi Wu
Jiwen Lu
Jie Zhou
MQ
214
72
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
367
35
0
27 Nov 2019
Highlight Every Step: Knowledge Distillation via Collaborative Teaching
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019
Haoran Zhao
Changrui Chen
Junyu Dong
Xin Sun
Zihe Dong
164
72
0
23 Jul 2019
Light Multi-segment Activation for Model Compression
AAAI Conference on Artificial Intelligence (AAAI), 2019
Zhenhui Xu
Guolin Ke
Jia Zhang
Jiang Bian
Tie-Yan Liu
99
2
0
16 Jul 2019
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