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Security and Privacy on Generative Data in AIGC: A Survey

Security and Privacy on Generative Data in AIGC: A Survey

18 September 2023
Tao Wang
Yushu Zhang
Shuren Qi
Ruoyu Zhao
Zhihua Xia
Jian Weng
ArXivPDFHTML

Papers citing "Security and Privacy on Generative Data in AIGC: A Survey"

20 / 20 papers shown
Title
A Survey of Generative AI for Intelligent Transportation Systems
A Survey of Generative AI for Intelligent Transportation Systems
Huan Yan
Yong Li
13
8
0
13 Dec 2023
Detecting Generated Images by Real Images Only
Detecting Generated Images by Real Images Only
Xiuli Bi
Bo Liu
Fan Yang
Bin Xiao
Weisheng Li
Gao Huang
P. Cosman
21
4
0
02 Nov 2023
Seeing is not Believing: An Identity Hider for Human Vision Privacy
  Protection
Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection
Tao Wang
Yushu Zhang
Zixuan Yang
Hua Zhang
Zhongyun Hua
PICV
CVBM
19
7
0
02 Jul 2023
The Internal State of an LLM Knows When It's Lying
The Internal State of an LLM Knows When It's Lying
A. Azaria
Tom Michael Mitchell
HILM
210
297
0
26 Apr 2023
Improving Synthetically Generated Image Detection in Cross-Concept
  Settings
Improving Synthetically Generated Image Detection in Cross-Concept Settings
P. Dogoulis
Giorgos Kordopatis-Zilos
I. Kompatsiaris
Symeon Papadopoulos
DiffM
120
18
0
24 Apr 2023
MGTBench: Benchmarking Machine-Generated Text Detection
MGTBench: Benchmarking Machine-Generated Text Detection
Xinlei He
Xinyue Shen
Z. Chen
Michael Backes
Yang Zhang
DeLMO
48
99
0
26 Mar 2023
Information-containing Adversarial Perturbation for Combating Facial
  Manipulation Systems
Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems
Yao Zhu
YueFeng Chen
Xiaodan Li
Rong Zhang
Xiang Tian
Bo Zheng
Yao-wu Chen
AAML
20
8
0
21 Mar 2023
On the detection of synthetic images generated by diffusion models
On the detection of synthetic images generated by diffusion models
Riccardo Corvi
D. Cozzolino
Giada Zingarini
Giovanni Poggi
Koki Nagano
L. Verdoliva
116
209
0
01 Nov 2022
Reducing Training Sample Memorization in GANs by Training with
  Memorization Rejection
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection
Andrew Bai
Cho-Jui Hsieh
Wendy Kan
Hsuan-Tien Lin
GAN
8
5
0
21 Oct 2022
UnGANable: Defending Against GAN-based Face Manipulation
UnGANable: Defending Against GAN-based Face Manipulation
Zheng Li
Ning Yu
A. Salem
Michael Backes
Mario Fritz
Yang Zhang
AAML
PICV
CVBM
22
22
0
03 Oct 2022
Red-Teaming the Stable Diffusion Safety Filter
Red-Teaming the Stable Diffusion Safety Filter
Javier Rando
Daniel Paleka
David Lindner
Lennard Heim
Florian Tramèr
DiffM
116
179
0
03 Oct 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
213
327
0
23 Aug 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a
  256GB Open-Source Legal Dataset
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
Peter Henderson
M. Krass
Lucia Zheng
Neel Guha
Christopher D. Manning
Dan Jurafsky
Daniel E. Ho
AILaw
ELM
121
94
0
01 Jul 2022
Deepfake Network Architecture Attribution
Deepfake Network Architecture Attribution
Tianyun Yang
Ziyao Huang
Juan Cao
Lei Li
Xirong Li
49
51
0
28 Feb 2022
When do GANs replicate? On the choice of dataset size
When do GANs replicate? On the choice of dataset size
Qianli Feng
Chen Guo
Fabian Benitez-Quiroz
Aleix M. Martinez
131
54
0
23 Feb 2022
Truthful AI: Developing and governing AI that does not lie
Truthful AI: Developing and governing AI that does not lie
Owain Evans
Owen Cotton-Barratt
Lukas Finnveden
Adam Bales
Avital Balwit
Peter Wills
Luca Righetti
William Saunders
HILM
207
107
0
13 Oct 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
36
135
0
17 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
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
261
1,798
0
14 Dec 2020
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
195
607
0
03 Sep 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
262
10,183
0
12 Dec 2018
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