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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 / 89 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
77
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
174
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
55
0
0
02 May 2025
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift
Jiamin Chang
Yiming Li
Hammond Pearce
Ruoxi Sun
Bo-wen Li
Minhui Xue
38
0
0
28 Apr 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
55
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
82
0
0
19 Mar 2025
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson
Thomas Martinetz
CVBM
73
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
Heng Chang
Jiaheng Zhang
76
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
76
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
79
2
0
24 Oct 2024
Privacy-Preserving Student Learning with Differentially Private
  Data-Free Distillation
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation
Bochao Liu
Jianghu Lu
Pengju Wang
Junjie Zhang
Dan Zeng
Zhenxing Qian
Shiming Ge
25
1
0
19 Sep 2024
Reconstructing training data from document understanding models
Reconstructing training data from document understanding models
Jérémie Dentan
Arnaud Paran
A. Shabou
AAML
SyDa
49
1
0
05 Jun 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Hanlin Gu
W. Ong
Chee Seng Chan
Lixin Fan
MU
39
7
0
23 May 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
60
3
0
29 Feb 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Vasisht Duddu
S. Szyller
Nadarajah Asokan
AAML
47
2
0
07 Dec 2023
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
28
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
47
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
68
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
29
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
43
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
49
7
0
28 May 2023
Training Data Extraction From Pre-trained Language Models: A Survey
Training Data Extraction From Pre-trained Language Models: A Survey
Shotaro Ishihara
29
46
0
25 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
26
9
0
05 May 2023
Incentivising the federation: gradient-based metrics for data selection
  and valuation in private decentralised training
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
FedML
28
2
0
04 May 2023
On the Adversarial Inversion of Deep Biometric Representations
On the Adversarial Inversion of Deep Biometric Representations
Gioacchino Tangari
Shreesh Keskar
Hassan Jameel 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
27
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
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional
  Gradient Estimation
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation
Geunhyeok Yu
Minwoo Jeon
Hyoseok Hwang
AAML
24
1
0
09 Mar 2023
Towards Unbounded Machine Unlearning
Towards Unbounded Machine Unlearning
M. Kurmanji
Peter Triantafillou
Jamie Hayes
Eleni Triantafillou
MU
28
123
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
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan
Fei Kong
Shiqi Wang
Xiaoshuang Shi
Kaidi Xu
23
109
0
02 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
572
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
28
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
31
0
0
31 Dec 2022
GAN-based Domain Inference Attack
GAN-based Domain Inference Attack
Yuechun Gu
Keke Chen
15
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
35
1
0
10 Nov 2022
Privacy Attacks Against Biometric Models with Fewer Samples:
  Incorporating the Output of Multiple Models
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Sohaib Ahmad
Benjamin Fuller
Kaleel Mahmood
AAML
27
0
0
22 Sep 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
23
35
0
16 Sep 2022
Does CLIP Know My Face?
Does CLIP Know My Face?
Dominik Hintersdorf
Lukas Struppek
Manuel Brack
Felix Friedrich
P. Schramowski
Kristian Kersting
VLM
21
9
0
15 Sep 2022
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via
  Attention-based Network in Face Recognition
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition
Thanh-Dat Truong
C. Duong
Ngan Le
Marios Savvides
Khoa Luu
CVBM
72
9
0
11 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
26
9
0
07 Sep 2022
Are Attribute Inference Attacks Just Imputation?
Are Attribute Inference Attacks Just Imputation?
Bargav Jayaraman
David E. Evans
TDI
MIACV
37
47
0
02 Sep 2022
Differentially Private Vertical Federated Clustering
Differentially Private Vertical Federated Clustering
Zitao Li
Tianhao Wang
Ninghui Li
FedML
28
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
36
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
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