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. 2406.15386
  4. Cited By
U Can't Gen This? A Survey of Intellectual Property Protection Methods
  for Data in Generative AI

U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI

22 April 2024
Tanja Sarcevic
Alicja Karlowicz
Rudolf Mayer
Ricardo A. Baeza-Yates
Andreas Rauber
ArXiv (abs)PDFHTML

Papers citing "U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI"

28 / 78 papers shown
Title
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
735
6,139
0
29 Apr 2021
Diagonal Attention and Style-based GAN for Content-Style Disentanglement
  in Image Generation and Translation
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation
Gihyun Kwon
Jong Chul Ye
113
52
0
30 Mar 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
354
3,728
0
18 Feb 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
Basel Alomair
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAUSILM
517
1,956
0
14 Dec 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via
  Influence Estimation
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman
Chiyuan Zhang
TDI
228
470
0
09 Aug 2020
Artificial Fingerprinting for Generative Models: Rooting Deepfake
  Attribution in Training Data
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
Ning Yu
Vladislav Skripniuk
Sahar Abdelnabi
Mario Fritz
WIGM
73
219
0
16 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
767
18,408
0
19 Jun 2020
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
Yi Ren
Chenxu Hu
Xu Tan
Tao Qin
Sheng Zhao
Zhou Zhao
Tie-Yan Liu
105
1,411
0
08 Jun 2020
Editing in Style: Uncovering the Local Semantics of GANs
Editing in Style: Uncovering the Local Semantics of GANs
Edo Collins
R. Bala
B. Price
Sabine Süsstrunk
83
278
0
29 Apr 2020
GANSpace: Discovering Interpretable GAN Controls
GANSpace: Discovering Interpretable GAN Controls
Erik Härkönen
Aaron Hertzmann
J. Lehtinen
Sylvain Paris
130
902
0
06 Apr 2020
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image
  Translation Networks and Facial Manipulation Systems
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
Nataniel Ruiz
Sarah Adel Bargal
Stan Sclaroff
PICVAAML
78
121
0
03 Mar 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
89
569
0
18 Dec 2019
Does Learning Require Memorization? A Short Tale about a Long Tail
Does Learning Require Memorization? A Short Tale about a Long Tail
Vitaly Feldman
TDI
142
502
0
12 Jun 2019
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Kaizhi Qian
Yang Zhang
Shiyu Chang
Xuesong Yang
M. Hasegawa-Johnson
105
470
0
14 May 2019
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion
Takuhiro Kaneko
Hirokazu Kameoka
Kou Tanaka
Nobukatsu Hojo
67
261
0
09 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
628
10,595
0
12 Dec 2018
Style and Content Disentanglement in Generative Adversarial Networks
Style and Content Disentanglement in Generative Adversarial Networks
Hadi Kazemi
Seyed Mehdi Iranmanesh
Nasser M. Nasrabadi
GANDRL
67
69
0
14 Nov 2018
Adversarial Examples: Opportunities and Challenges
Adversarial Examples: Opportunities and Challenges
Jiliang Zhang
Chen Li
AAML
55
234
0
13 Sep 2018
HiDDeN: Hiding Data With Deep Networks
HiDDeN: Hiding Data With Deep Networks
Jiren Zhu
Russell Kaplan
Justin Johnson
Li Fei-Fei
WIGM
56
755
0
26 Jul 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain
  Image-to-Image Translation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi
Min-Je Choi
M. Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
GAN
162
3,558
0
24 Nov 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
181
7,380
0
27 Oct 2017
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
136
1,829
0
16 Jun 2017
Tacotron: Towards End-to-End Speech Synthesis
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang
RJ Skerry-Ryan
Daisy Stanton
Yonghui Wu
Ron J. Weiss
...
Samy Bengio
Quoc V. Le
Yannis Agiomyrgiannakis
R. Clark
Rif A. Saurous
173
1,833
0
29 Mar 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
186
4,378
0
20 Mar 2017
Generating Steganographic Images via Adversarial Training
Generating Steganographic Images via Adversarial Training
Jamie Hayes
G. Danezis
AAMLGAN
85
277
0
01 Mar 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
312
7,035
0
12 Mar 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,145
0
20 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
484
16,922
0
20 Dec 2013
Previous
12