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The Secret Revealer: Generative Model-Inversion Attacks Against Deep
  Neural Networks

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

17 November 2019
Yuheng Zhang
R. Jia
Hengzhi Pei
Wenxiao Wang
Bo-wen Li
D. Song
    AAML
ArXivPDFHTML

Papers citing "The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks"

50 / 71 papers shown
Title
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
Shashank Kapoor
Sanjay Surendranath Girija
Lakshit Arora
Dipen Pradhan
Ankit Shetgaonkar
Aman Raj
AAML
69
0
0
06 May 2025
A Survey on Privacy Risks and Protection in Large Language Models
A Survey on Privacy Risks and Protection in Large Language Models
Kang Chen
Xiuze Zhou
Yuanguo Lin
Shibo Feng
Li Shen
Pengcheng Wu
AILaw
PILM
138
0
0
04 May 2025
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
Francisco Aguilera-Martínez
Fernando Berzal
PILM
52
0
0
02 May 2025
Diffusion-Driven Universal Model Inversion Attack for Face Recognition
Diffusion-Driven Universal Model Inversion Attack for Face Recognition
H. Wang
Shuo Wang
Chun-Shien Lu
Isao Echizen
87
0
0
25 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
Georgios Papadopoulos
Shaltiel Eloul
Yash Satsangi
Jamie Heredge
Niraj Kumar
Chun-Fu Chen
Marco Pistoia
51
0
0
17 Apr 2025
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation
Shenyang Liu
Yang Gao
Shaoyan Zhai
Liqiang Wang
32
0
0
06 Apr 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
Jacopo Talpini
Marco Savi
Giovanni Neglia
FedML
Presented at ResearchTrend Connect | FedML on 07 May 2025
76
0
0
19 Mar 2025
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson
Thomas Martinetz
CVBM
68
0
0
12 Mar 2025
Prompt Inversion Attack against Collaborative Inference of Large Language Models
Prompt Inversion Attack against Collaborative Inference of Large Language Models
Wenjie Qu
Yuguang Zhou
Yongji Wu
Tingsong Xiao
Binhang Yuan
Y. Li
Jiaheng Zhang
71
0
0
12 Mar 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Song Xia
Yi Yu
Wenhan Yang
Meiwen Ding
Zhuo Chen
Lingyu Duan
Alex C. Kot
Xudong Jiang
56
2
0
01 Mar 2025
Examining the Threat Landscape: Foundation Models and Model Stealing
Examining the Threat Landscape: Foundation Models and Model Stealing
Ankita Raj
Deepankar Varma
Chetan Arora
AAML
68
1
0
25 Feb 2025
PPO-MI: Efficient Black-Box Model Inversion via Proximal Policy Optimization
PPO-MI: Efficient Black-Box Model Inversion via Proximal Policy Optimization
Xinpeng Shou
81
0
0
21 Feb 2025
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
Jong-Ik Park
Srinivasa Pranav
J. M. F. Moura
Carlee Joe-Wong
AI4CE
71
2
0
24 Oct 2024
Reconstructing training data from document understanding models
Reconstructing training data from document understanding models
Jérémie Dentan
Arnaud Paran
A. Shabou
AAML
SyDa
41
1
0
05 Jun 2024
RobWE: Robust Watermark Embedding for Personalized Federated Learning
  Model Ownership Protection
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection
Yang Xu
Yunlin Tan
Cheng Zhang
Kai Chi
Peng Sun
Wenyuan Yang
Ju Ren
Hongbo Jiang
Yaoxue Zhang
FedML
52
2
0
29 Feb 2024
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
Yue Niu
Ramy E. Ali
Saurav Prakash
Salman Avestimehr
FedML
23
2
0
05 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm
  Perspective
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
FedML
AAML
29
19
0
27 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
60
3
0
20 Nov 2023
Privacy Preservation in Artificial Intelligence and Extended Reality
  (AI-XR) Metaverses: A Survey
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey
Mahdi Alkaeed
Adnan Qayyum
Junaid Qadir
24
16
0
19 Sep 2023
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
37
23
0
20 Jul 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Baoyuan Wu
Chun Yuan
Dacheng Tao
47
7
0
28 May 2023
A Comprehensive Study on Dataset Distillation: Performance, Privacy,
  Robustness and Fairness
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness
Zongxiong Chen
Jiahui Geng
Derui Zhu
Herbert Woisetschlaeger
Qing Li
Sonja Schimmler
Ruben Mayer
Chunming Rong
DD
24
9
0
05 May 2023
On the Adversarial Inversion of Deep Biometric Representations
On the Adversarial Inversion of Deep Biometric Representations
Gioacchino Tangari
Shreesh Keskar
H. Asghar
Dali Kaafar
AAML
31
2
0
12 Apr 2023
EKILA: Synthetic Media Provenance and Attribution for Generative Art
EKILA: Synthetic Media Provenance and Attribution for Generative Art
Kar Balan
S. Agarwal
Simon Jenni
Andy Parsons
Andrew Gilbert
John Collomosse
22
12
0
10 Apr 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Tongliang Liu
Chun Yuan
Dacheng Tao
47
4
0
20 Mar 2023
Towards Unbounded Machine Unlearning
Towards Unbounded Machine Unlearning
M. Kurmanji
Peter Triantafillou
Jamie Hayes
Eleni Triantafillou
MU
19
122
0
20 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks
  against Interpretable Models
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
Abdullah Çaglar Öksüz
Anisa Halimi
Erman Ayday
ELM
AAML
21
2
0
04 Feb 2023
Extracting Training Data from Diffusion Models
Extracting Training Data from Diffusion Models
Nicholas Carlini
Jamie Hayes
Milad Nasr
Matthew Jagielski
Vikash Sehwag
Florian Tramèr
Borja Balle
Daphne Ippolito
Eric Wallace
DiffM
63
569
0
30 Jan 2023
Introducing Model Inversion Attacks on Automatic Speaker Recognition
Introducing Model Inversion Attacks on Automatic Speaker Recognition
Karla Pizzi
Franziska Boenisch
U. Sahin
Konstantin Böttinger
18
3
0
09 Jan 2023
A Comparative Study of Image Disguising Methods for Confidential
  Outsourced Learning
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning
Sagar Sharma
Yuechun Gu
Keke Chen
25
0
0
31 Dec 2022
GAN-based Domain Inference Attack
GAN-based Domain Inference Attack
Yuechun Gu
Keke Chen
13
11
0
22 Dec 2022
Test-time adversarial detection and robustness for localizing humans
  using ultra wide band channel impulse responses
Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses
A. Kolli
M. Jehanzeb Mirza
Horst Possegger
Horst Bischof
AAML
25
1
0
10 Nov 2022
Model Inversion Attacks against Graph Neural Networks
Model Inversion Attacks against Graph Neural Networks
Zaixin Zhang
Qi Liu
Zhenya Huang
Hao Wang
Cheekong Lee
Enhong
AAML
17
35
0
16 Sep 2022
On the utility and protection of optimization with differential privacy
  and classic regularization techniques
On the utility and protection of optimization with differential privacy and classic regularization techniques
Eugenio Lomurno
Matteo matteucci
18
9
0
07 Sep 2022
Are Attribute Inference Attacks Just Imputation?
Are Attribute Inference Attacks Just Imputation?
Bargav Jayaraman
David E. Evans
TDI
MIACV
26
46
0
02 Sep 2022
Differentially Private Vertical Federated Clustering
Differentially Private Vertical Federated Clustering
Zitao Li
Tianhao Wang
Ninghui Li
FedML
21
18
0
02 Aug 2022
Reconstructing Training Data from Trained Neural Networks
Reconstructing Training Data from Trained Neural Networks
Niv Haim
Gal Vardi
Gilad Yehudai
Ohad Shamir
Michal Irani
40
132
0
15 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated
  Learning
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
D. Baron
H. Dai
FedML
28
46
0
08 Jun 2022
Subject Membership Inference Attacks in Federated Learning
Subject Membership Inference Attacks in Federated Learning
Anshuman Suri
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
30
25
0
07 Jun 2022
Commonality in Natural Images Rescues GANs: Pretraining GANs with
  Generic and Privacy-free Synthetic Data
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data
Kyungjune Baek
Hyunjung Shim
22
12
0
11 Apr 2022
Ensemble learning using individual neonatal data for seizure detection
Ensemble learning using individual neonatal data for seizure detection
A. Borovac
S. Gudmundsson
G. Thorvardsson
S. M. Moghadam
P. Nevalainen
N. Stevenson
S. Vanhatalo
T. Runarsson
FedML
11
8
0
11 Apr 2022
Label-Only Model Inversion Attacks via Boundary Repulsion
Label-Only Model Inversion Attacks via Boundary Repulsion
Mostafa Kahla
Si-An Chen
H. Just
R. Jia
30
74
0
03 Mar 2022
Differentially Private Graph Classification with GNNs
Differentially Private Graph Classification with GNNs
Tamara T. Mueller
Johannes C. Paetzold
Chinmay Prabhakar
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
42
18
0
05 Feb 2022
Variational Model Inversion Attacks
Variational Model Inversion Attacks
Kuan-Chieh Jackson Wang
Yanzhe Fu
Ke Li
Ashish Khisti
R. Zemel
Alireza Makhzani
MIACV
11
95
0
26 Jan 2022
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute
  Inference Attacks on Classification Models
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models
Shagufta Mehnaz
S. V. Dibbo
Ehsanul Kabir
Ninghui Li
E. Bertino
MIACV
29
60
0
23 Jan 2022
Reconstructing Training Data with Informed Adversaries
Reconstructing Training Data with Informed Adversaries
Borja Balle
Giovanni Cherubin
Jamie Hayes
MIACV
AAML
30
158
0
13 Jan 2022
Black-box Adversarial Attacks on Commercial Speech Platforms with
  Minimal Information
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
Baolin Zheng
Peipei Jiang
Qian Wang
Qi Li
Chao Shen
Cong Wang
Yunjie Ge
Qingyang Teng
Shenyi Zhang
AAML
13
69
0
19 Oct 2021
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
30
16
0
20 Sep 2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label
  Inference Attacks Against Split Learning
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning
Ege Erdogan
Alptekin Kupcu
A. E. Cicek
FedML
MIACV
35
77
0
20 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
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