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. 2203.01925
  4. Cited By
Label-Only Model Inversion Attacks via Boundary Repulsion

Label-Only Model Inversion Attacks via Boundary Repulsion

3 March 2022
Mostafa Kahla
Si-An Chen
H. Just
R. Jia
ArXivPDFHTML

Papers citing "Label-Only Model Inversion Attacks via Boundary Repulsion"

40 / 40 papers shown
Title
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
Ziang Li
Hongguang Zhang
Juan Wang
Meihui Chen
Hongxin Hu
Wenzhe Yi
Xiaoyang Xu
Mengda Yang
Chenjun Ma
57
0
0
20 Mar 2025
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson
Thomas Martinetz
CVBM
68
0
0
12 Mar 2025
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li
Li Bai
Qingqing Ye
Haibo Hu
Yaxin Xiao
Huadi Zheng
Jianliang Xu
64
0
0
26 Feb 2025
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Anan Kabaha
Dana Drachsler-Cohen
AAML
43
0
0
23 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
Adversarial Attacks on Hyperbolic Networks
Adversarial Attacks on Hyperbolic Networks
Max van Spengler
Jan Zahálka
Pascal Mettes
AAML
OOD
94
0
0
02 Dec 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object
  Detectors
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
Tao Lin
Lijia Yu
Gaojie Jin
Renjue Li
Peng Wu
Lijun Zhang
AAML
25
1
0
14 Oct 2024
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense
Yixiang Qiu
Hongyao Yu
Hao Fang
Wenbo Yu
Wenbo Yu
Bin Chen
Shu-Tao Xia
Ke Xu
Ke Xu
AAML
24
1
0
07 Oct 2024
A Closer Look at GAN Priors: Exploiting Intermediate Features for
  Enhanced Model Inversion Attacks
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks
Yixiang Qiu
Hao Fang
Hongyao Yu
Bin Chen
Meikang Qiu
Shu-Tao Xia
AAML
39
10
0
18 Jul 2024
Prediction Exposes Your Face: Black-box Model Inversion via Prediction
  Alignment
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment
Yufan Liu
Wanqian Zhang
Dayan Wu
Zheng-Shen Lin
Jingzi Gu
Weiping Wang
42
1
0
11 Jul 2024
Reconstructing training data from document understanding models
Reconstructing training data from document understanding models
Jérémie Dentan
Arnaud Paran
A. Shabou
AAML
SyDa
34
1
0
05 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
39
2
0
04 Jun 2024
Decaf: Data Distribution Decompose Attack against Federated Learning
Decaf: Data Distribution Decompose Attack against Federated Learning
Zhiyang Dai
Chunyi Zhou
Anmin Fu
26
2
0
24 May 2024
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via
  Selective Tensor Freezing
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing
Kai Huang
Wei Gao
32
2
0
24 May 2024
UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against
  Both Textual Filters and Visual Checkers
UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers
Duo Peng
Qi Ke
Jun Liu
28
4
0
18 May 2024
Model Inversion Robustness: Can Transfer Learning Help?
Model Inversion Robustness: Can Transfer Learning Help?
Sy-Tuyen Ho
Koh Jun Hao
Keshigeyan Chandrasegaran
Ngoc-Bao Nguyen
Ngai-man Cheung
32
8
0
09 May 2024
Federated Graph Condensation with Information Bottleneck Principles
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan
DD
FedML
37
4
0
07 May 2024
Practical Dataset Distillation Based on Deep Support Vectors
Practical Dataset Distillation Based on Deep Support Vectors
Hyunho Lee
Junhoo Lee
Nojun Kwak
11
1
0
01 May 2024
Distributional Black-Box Model Inversion Attack with Multi-Agent
  Reinforcement Learning
Distributional Black-Box Model Inversion Attack with Multi-Agent Reinforcement Learning
Huan Bao
Kaimin Wei
Yongdong Wu
Jin Qian
Robert H. Deng
41
0
0
22 Apr 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance
  of Unlearned Models with Out-Of-Distribution Images
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images
Jacopo Bonato
Marco Cotogni
Luigi Sabetta
MU
CLL
42
4
0
19 Apr 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding
  Architectures
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
S. V. Dibbo
Adam Breuer
Juston S. Moore
Michael Teti
AAML
28
4
0
21 Mar 2024
Breaking the Black-Box: Confidence-Guided Model Inversion Attack for
  Distribution Shift
Breaking the Black-Box: Confidence-Guided Model Inversion Attack for Distribution Shift
Xinhao Liu
Yingzhao Jiang
Zetao Lin
30
0
0
28 Feb 2024
Privacy-Preserving Language Model Inference with Instance Obfuscation
Privacy-Preserving Language Model Inference with Instance Obfuscation
Yixiang Yao
Fei Wang
Srivatsan Ravi
Muhao Chen
19
6
0
13 Feb 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey
  and the Open Libraries Behind Them
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Chao-Jung Liu
Boxi Chen
Wei Shao
Chris Zhang
Kelvin Wong
Yi Zhang
19
3
0
22 Jan 2024
Ensembler: Combating model inversion attacks using model ensemble during
  collaborative inference
Ensembler: Combating model inversion attacks using model ensemble during collaborative inference
Dancheng Liu
Jinjun Xiong
MIACV
FedML
AAML
27
0
0
19 Jan 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
16
2
0
05 Dec 2023
Label-Only Model Inversion Attacks via Knowledge Transfer
Label-Only Model Inversion Attacks via Knowledge Transfer
Ngoc-Bao Nguyen
Keshigeyan Chandrasegaran
Milad Abdollahzadeh
Ngai-man Cheung
37
13
0
30 Oct 2023
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield
  but Also a Catalyst for Model Inversion Attacks
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
Lukas Struppek
Dominik Hintersdorf
Kristian Kersting
20
12
0
10 Oct 2023
Client-side Gradient Inversion Against Federated Learning from Poisoning
Client-side Gradient Inversion Against Federated Learning from Poisoning
Jiaheng Wei
Yanjun Zhang
Leo Yu Zhang
Chao Chen
Shirui Pan
Kok-Leong Ong
Jinchao Zhang
Yang Xiang
AAML
20
3
0
14 Sep 2023
Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion
  Model
Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model
Rongke Liu
Dong Wang
Yizhi Ren
Zhen Wang
Kaitian Guo
Qianqian Qin
Xiaolei Liu
DiffM
19
12
0
17 Jul 2023
Boosting Model Inversion Attacks with Adversarial Examples
Boosting Model Inversion Attacks with Adversarial Examples
Shuai Zhou
Tianqing Zhu
Dayong Ye
Xin Yu
Wanlei Zhou
AAML
MIACV
29
17
0
24 Jun 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov
  Chain Approximation
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Zhanke Zhou
Chenyu Zhou
Xuan Li
Jiangchao Yao
Quanming Yao
Bo Han
AAML
37
17
0
15 Jun 2023
Reinforcement Learning-Based Black-Box Model Inversion Attacks
Reinforcement Learning-Based Black-Box Model Inversion Attacks
Gyojin Han
Jaehyun Choi
Haeil Lee
Junmo Kim
MIACV
14
34
0
10 Apr 2023
Re-thinking Model Inversion Attacks Against Deep Neural Networks
Re-thinking Model Inversion Attacks Against Deep Neural Networks
Ngoc-Bao Nguyen
Keshigeyan Chandrasegaran
Milad Abdollahzadeh
Ngai-man Cheung
27
38
0
04 Apr 2023
Class Attribute Inference Attacks: Inferring Sensitive Class Information
  by Diffusion-Based Attribute Manipulations
Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations
Lukas Struppek
Dominik Hintersdorf
Felix Friedrich
Manuel Brack
P. Schramowski
Kristian Kersting
MIACV
25
2
0
16 Mar 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative
  Adversarial Network
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
Xiaojian Yuan
Kejiang Chen
Jie Zhang
Weiming Zhang
Neng H. Yu
Yangyi Zhang
26
34
0
20 Feb 2023
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for
  Improving Adversarial Training
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
Junhao Dong
Seyed-Mohsen Moosavi-Dezfooli
Jianhuang Lai
Xiaohua Xie
AAML
35
28
0
01 Nov 2022
Distilling the Undistillable: Learning from a Nasty Teacher
Distilling the Undistillable: Learning from a Nasty Teacher
Surgan Jandial
Yash Khasbage
Arghya Pal
V. Balasubramanian
Balaji Krishnamurthy
24
6
0
21 Oct 2022
Text Revealer: Private Text Reconstruction via Model Inversion Attacks
  against Transformers
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers
Ruisi Zhang
Seira Hidano
F. Koushanfar
SILM
65
26
0
21 Sep 2022
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
10,320
0
12 Dec 2018
1