ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.11960
  4. Cited By
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a
  Trained Classifier

DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier

27 December 2019
Sravanti Addepalli
Gaurav Kumar Nayak
Anirban Chakraborty
R. Venkatesh Babu
ArXivPDFHTML

Papers citing "DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier"

21 / 21 papers shown
Title
FedRecon: Missing Modality Reconstruction in Distributed Heterogeneous Environments
FedRecon: Missing Modality Reconstruction in Distributed Heterogeneous Environments
Junming Liu
Guosun Zeng
Ding Wang
Yanting Gao
Yufei Jin
51
0
0
14 Apr 2025
Efficient Model Extraction via Boundary Sampling
Efficient Model Extraction via Boundary Sampling
Maor Biton Dor
Yisroel Mirsky
MLAU
MIACV
AAML
25
0
0
20 Oct 2024
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator
  Ensemble
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble
Jonathan Rosenthal
Shanchao Liang
Kevin Zhang
Lin Tan
MIACV
32
0
0
16 Sep 2024
Encapsulating Knowledge in One Prompt
Encapsulating Knowledge in One Prompt
Qi Li
Runpeng Yu
Xinchao Wang
VLM
KELM
52
3
0
16 Jul 2024
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
Vlad Hondru
Radu Tudor Ionescu
DiffM
50
1
0
29 Sep 2023
Lion: Adversarial Distillation of Proprietary Large Language Models
Lion: Adversarial Distillation of Proprietary Large Language Models
Yuxin Jiang
Chunkit Chan
Mingyang Chen
Wei Wang
ALM
33
23
0
22 May 2023
Learning to Retain while Acquiring: Combating Distribution-Shift in
  Adversarial Data-Free Knowledge Distillation
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
Gaurav Patel
Konda Reddy Mopuri
Qiang Qiu
29
28
0
28 Feb 2023
Scalable Collaborative Learning via Representation Sharing
Scalable Collaborative Learning via Representation Sharing
Frédéric Berdoz
Abhishek Singh
Martin Jaggi
Ramesh Raskar
FedML
30
3
0
20 Nov 2022
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental
  Learning
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning
Fanfan Ye
Liang Ma
Qiaoyong Zhong
Di Xie
Shiliang Pu
BDL
CLL
21
2
0
23 May 2022
Towards Data-Free Model Stealing in a Hard Label Setting
Towards Data-Free Model Stealing in a Hard Label Setting
Sunandini Sanyal
Sravanti Addepalli
R. Venkatesh Babu
AAML
35
85
0
23 Apr 2022
Robust and Resource-Efficient Data-Free Knowledge Distillation by
  Generative Pseudo Replay
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay
Kuluhan Binici
Shivam Aggarwal
N. Pham
K. Leman
T. Mitra
TTA
27
45
0
09 Jan 2022
Data-Free Knowledge Transfer: A Survey
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
37
48
0
31 Dec 2021
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight
  Stealing in Memories
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
Adnan Siraj Rakin
Md Hafizul Islam Chowdhuryy
Fan Yao
Deliang Fan
AAML
MIACV
42
110
0
08 Nov 2021
Preventing Catastrophic Forgetting and Distribution Mismatch in
  Knowledge Distillation via Synthetic Data
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data
Kuluhan Binici
N. Pham
T. Mitra
K. Leman
30
40
0
11 Aug 2021
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
39
42
0
20 Jul 2021
Representation Consolidation for Training Expert Students
Representation Consolidation for Training Expert Students
Zhizhong Li
Avinash Ravichandran
Charless C. Fowlkes
M. Polito
Rahul Bhotika
Stefano Soatto
16
6
0
16 Jul 2021
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
151
150
0
17 Feb 2021
Mining Data Impressions from Deep Models as Substitute for the
  Unavailable Training Data
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data
Gaurav Kumar Nayak
Konda Reddy Mopuri
Saksham Jain
Anirban Chakraborty
19
13
0
15 Jan 2021
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge
  Distillation
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation
Gaurav Kumar Nayak
Konda Reddy Mopuri
Anirban Chakraborty
25
18
0
18 Nov 2020
Data-free Knowledge Distillation for Segmentation using Data-Enriching
  GAN
Data-free Knowledge Distillation for Segmentation using Data-Enriching GAN
Kaushal Bhogale
13
3
0
02 Nov 2020
Black-Box Ripper: Copying black-box models using generative evolutionary
  algorithms
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
Antonio Bărbălău
Adrian Cosma
Radu Tudor Ionescu
Marius Popescu
MIACV
MLAU
30
43
0
21 Oct 2020
1