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Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Neural Information Processing Systems (NeurIPS), 2019
21 August 2019
Bingzhe Wu
Shiwan Zhao
Chaochao Chen
Haoyang Xu
Li Wang
Xiaolu Zhang
Guangyu Sun
Jun Zhou
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Papers citing
"Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection"
27 / 27 papers shown
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Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
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Toan M. Tran
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Rethinking Image Skip Connections in StyleGAN2
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Y. Shin
251
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08 Jul 2024
Preserving Privacy in GANs Against Membership Inference Attack
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Mohammadhadi Shateri
Francisco Messina
Fabrice Labeau
Pablo Piantanida
274
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0
06 Nov 2023
SoK: Memorisation in machine learning
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Moritz Knolle
Georgios Kaissis
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Improving GANs with a Feature Cycling Generator
Seung-won Park
Y. Shin
293
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18 Oct 2022
M^4I: Multi-modal Models Membership Inference
Neural Information Processing Systems (NeurIPS), 2022
Pingyi Hu
Zihan Wang
Ruoxi Sun
Hu Wang
Minhui Xue
245
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15 Sep 2022
What is a Good Metric to Study Generalization of Minimax Learners?
Neural Information Processing Systems (NeurIPS), 2022
Asuman Ozdaglar
S. Pattathil
Jiawei Zhang
Jianchao Tan
263
17
0
09 Jun 2022
On the Privacy Properties of GAN-generated Samples
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Zinan Lin
Vyas Sekar
Giulia Fanti
PICV
226
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0
03 Jun 2022
A Novel Generator with Auxiliary Branch for Improving GAN Performance
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Seung-won Park
Y. Shin
250
10
0
30 Dec 2021
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis
Bingzhe Wu
Zhicong Liang
Yatao Bian
Chaochao Chen
Junzhou Huang
Yuan Yao
147
1
0
14 Dec 2021
Generative Convolution Layer for Image Generation
Seung-won Park
Y. Shin
126
14
0
30 Nov 2021
Improving the expressiveness of neural vocoding with non-affine Normalizing Flows
Adam Gabry's
Yunlong Jiao
V. Klimkov
Daniel Korzekwa
Roberto Barra-Chicote
208
1
0
16 Jun 2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications
ACM Computing Surveys (CSUR), 2021
Zhipeng Cai
Zuobin Xiong
Honghui Xu
Peng-Shuai Wang
Wei Li
Yi-Lun Pan
307
187
0
07 Jun 2021
Causally Constrained Data Synthesis for Private Data Release
Varun Chandrasekaran
Darren Edge
S. Jha
Amit Sharma
Cheng Zhang
Shruti Tople
SyDa
289
3
0
27 May 2021
Generalization of GANs and overparameterized models under Lipschitz continuity
Khoat Than
Nghia D. Vu
AI4CE
281
2
0
06 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey
ACM Computing Surveys (CSUR), 2021
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
462
644
0
14 Mar 2021
Train simultaneously, generalize better: Stability of gradient-based minimax learners
International Conference on Machine Learning (ICML), 2020
Farzan Farnia
Asuman Ozdaglar
238
53
0
23 Oct 2020
Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
Tabea Kossen
Pooja Subramaniam
V. Madai
A. Hennemuth
Kristian Hildebrand
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Michelle Livne
Ivana Galinovic
Ahmed A. Khalil
J. Fiebach
D. Frey
MedIm
305
1
0
09 Sep 2020
Distributional Robustness with IPMs and links to Regularization and GANs
Hisham Husain
180
24
0
08 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
458
18
0
27 May 2020
Secret Sharing based Secure Regressions with Applications
Chaochao Chen
Liang Li
Wenjing Fang
Jun Zhou
Li Wang
Lei Wang
Shuang Yang
A. Liu
Hongya Wang
170
4
0
10 Apr 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
USENIX Security Symposium (USENIX Security), 2020
Liwei Song
Prateek Mittal
MIACV
793
476
0
24 Mar 2020
Input Perturbation: A New Paradigm between Central and Local Differential Privacy
Yilin Kang
Yong Liu
Ben Niu
Xin-Yi Tong
Likun Zhang
Weiping Wang
228
15
0
20 Feb 2020
Alleviation of Gradient Exploding in GANs: Fake Can Be Real
Computer Vision and Pattern Recognition (CVPR), 2019
Song Tao
Jia Wang
GAN
203
24
0
28 Dec 2019
Weighted Distributed Differential Privacy ERM: Convex and Non-convex
Computers & security (Comput. Secur.), 2019
Yilin Kang
Yong Liu
Weiping Wang
281
10
0
23 Oct 2019
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
AAAI Conference on Artificial Intelligence (AAAI), 2019
Abeer Alshehri
Chaochao Chen
Shiwan Zhao
Cen Chen
Xingtai Lv
Guangyu Sun
L. Sonenberg
Xiaolu Zhang
Jun Zhou
BDL
186
23
0
05 Oct 2019
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