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Hiding Functions within Functions: Steganography by Implicit Neural Representations
v1v2 (latest)

Hiding Functions within Functions: Steganography by Implicit Neural Representations

7 December 2023
Jia-Wei Liu
Peng Luo
Yan Ke
Dang Qian
Zhang Minqing
Mu Dejun
    GAN
ArXiv (abs)PDFHTML

Papers citing "Hiding Functions within Functions: Steganography by Implicit Neural Representations"

33 / 33 papers shown
Title
StegaINR4MIH: steganography by implicit neural representation for
  multi-image hiding
StegaINR4MIH: steganography by implicit neural representation for multi-image hiding
Weina Dong
Jia-Wei Liu
Lifeng Chen
Wenquan Sun
Xiaozhong Pan
Yan Ke
75
0
0
14 Oct 2024
Image steganography based on generative implicit neural representation
Image steganography based on generative implicit neural representation
Zhong Yangjie
Liu Jia
Ke Yan
Liu Meiqi
DiffMGAN
87
0
0
04 Jun 2024
GS-Hider: Hiding Messages into 3D Gaussian Splatting
GS-Hider: Hiding Messages into 3D Gaussian Splatting
Xuanyu Zhang
Jiarui Meng
Runyi Li
Zhipei Xu
Yongbing Zhang
Jian Zhang
100
16
0
24 May 2024
MarkNerf:Watermarking for Neural Radiance Field
MarkNerf:Watermarking for Neural Radiance Field
Lifeng Chen
Jia-Wei Liu
Yan Ke
Wenquan Sun
Weina Dong
Xiaozhong Pan
69
8
0
21 Sep 2023
Steganography for Neural Radiance Fields by Backdooring
Steganography for Neural Radiance Fields by Backdooring
Weina Dong
Jia-Wei Liu
Yan Ke
Lifeng Chen
Wenquan Sun
Xiaozhong Pan
83
5
0
19 Sep 2023
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
Ziyuan Luo
Qing Guo
Ka Chun Cheung
Simon See
Renjie Wan
68
30
0
21 Jul 2023
Towards Deep Network Steganography: From Networks to Networks
Towards Deep Network Steganography: From Networks to Networks
GuoBiao Li
Sheng Li
Meiling Li
Zhenxing Qian
Xinpeng Zhang
FedML
72
5
0
07 Jul 2023
Diffusion-Stego: Training-free Diffusion Generative Steganography via
  Message Projection
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection
Daegyu Kim
Chaehun Shin
Jooyoung Choi
Dahuin Jung
Sung-Hoon Yoon
DiffM
103
10
0
30 May 2023
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image
  Steganography
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
Jiwen Yu
Xuanyu Zhang
You-song Xu
Jian Zhang
DiffM
88
50
0
26 May 2023
Generative Steganography Diffusion
Generative Steganography Diffusion
Ping Wei
Qing Zhou
Zichi Wang
Zhenxing Qian
Xinpeng Zhang
Sheng Li
DiffM
115
10
0
05 May 2023
Steganography of Steganographic Networks
Steganography of Steganographic Networks
GuoBiao Li
Sheng Li
Meiling Li
Xinpeng Zhang
Zhenxing Qian
22
13
0
28 Feb 2023
StegaNeRF: Embedding Invisible Information within Neural Radiance Fields
StegaNeRF: Embedding Invisible Information within Neural Radiance Fields
Chenxin Li
Brandon Yushan Feng
Zhiwen Fan
Panwang Pan
Zhangyang Wang
DiffM
74
37
0
03 Dec 2022
Hiding Images in Deep Probabilistic Models
Hiding Images in Deep Probabilistic Models
Haoyu Chen
Linqi Song
Zhenxing Qian
Xinpeng Zhang
Kede Ma
AAML
50
10
0
05 Oct 2022
Pixel-Stega: Generative Image Steganography Based on Autoregressive
  Models
Pixel-Stega: Generative Image Steganography Based on Autoregressive Models
Siyu Zhang
Zhongliang Yang
Haoqin Tu
Jinshuai Yang
Yongfeng Huang
GAN
37
4
0
21 Dec 2021
SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice
  Generation
SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation
Rongjie Huang
Chenye Cui
Feiyang Chen
Yi Ren
Jinglin Liu
Zhou Zhao
Baoxing Huai
N. Yuan
GAN
157
63
0
14 Oct 2021
Generative Models as Distributions of Functions
Generative Models as Distributions of Functions
Emilien Dupont
Yee Whye Teh
Arnaud Doucet
80
109
0
09 Feb 2021
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
292
7,492
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
718
18,364
0
19 Jun 2020
Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
130
2,440
0
18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
165
2,577
0
17 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
521
10,591
0
17 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
547
42,639
0
03 Dec 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
251
2,908
0
10 Dec 2018
HiDDeN: Hiding Data With Deep Networks
HiDDeN: Hiding Data With Deep Networks
Jiren Zhu
Russell Kaplan
Justin Johnson
Li Fei-Fei
WIGM
54
755
0
26 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
303
3,144
0
09 Jul 2018
Generative Steganography by Sampling
Generative Steganography by Sampling
Zhuo Zhang
Jia-Wei Liu
Yan Ke
Yu-Zhou Lei
Jun Li
Minqing Zhang
Xiaoyuan Yang
GANDiffM
49
33
0
26 Apr 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks
  by Backdooring
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Yossi Adi
Carsten Baum
Moustapha Cissé
Benny Pinkas
Joseph Keshet
65
682
0
13 Feb 2018
Coverless Information Hiding Based on Generative adversarial networks
Coverless Information Hiding Based on Generative adversarial networks
Mingming Liu
Minqing Zhang
Jia-Wei Liu
Yingnan Zhang
Yan Ke
GAN
47
62
0
18 Dec 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
175
7,377
0
27 Oct 2017
Steganographic Generative Adversarial Networks
Steganographic Generative Adversarial Networks
Denis Volkhonskiy
Ivan Nazarov
Evgeny Burnaev
GAN
67
214
0
16 Mar 2017
Embedding Watermarks into Deep Neural Networks
Embedding Watermarks into Deep Neural Networks
Yusuke Uchida
Yuki Nagai
S. Sakazawa
Shiníchi Satoh
122
610
0
15 Jan 2017
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
172
5,538
0
09 Dec 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
434
43,832
0
01 May 2014
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