Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2203.01925
Cited By
Label-Only Model Inversion Attacks via Boundary Repulsion
3 March 2022
Mostafa Kahla
Si-An Chen
H. Just
R. Jia
Re-assign community
ArXiv
PDF
HTML
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
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
Haoyang Li
Li Bai
Qingqing Ye
Haibo Hu
Yaxin Xiao
Huadi Zheng
Jianliang Xu
59
0
0
26 Feb 2025
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
Xinpeng Shou
81
0
0
21 Feb 2025
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
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
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
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
Yufan Liu
Wanqian Zhang
Dayan Wu
Zheng-Shen Lin
Jingzi Gu
Weiping Wang
34
1
0
11 Jul 2024
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
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
36
2
0
04 Jun 2024
Decaf: Data Distribution Decompose Attack against Federated Learning
Zhiyang Dai
Chunyi Zhou
Anmin Fu
21
2
0
24 May 2024
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
Duo Peng
Qi Ke
Jun Liu
28
4
0
18 May 2024
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
Bo Yan
DD
FedML
37
4
0
07 May 2024
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
Huan Bao
Kaimin Wei
Yongdong Wu
Jin Qian
Robert H. Deng
36
0
0
22 Apr 2024
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
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
Xinhao Liu
Yingzhao Jiang
Zetao Lin
27
0
0
28 Feb 2024
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
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
Dancheng Liu
Jinjun Xiong
MIACV
FedML
AAML
27
0
0
19 Jan 2024
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
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
Lukas Struppek
Dominik Hintersdorf
Kristian Kersting
15
12
0
10 Oct 2023
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
18
3
0
14 Sep 2023
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
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
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
Gyojin Han
Jaehyun Choi
Haeil Lee
Junmo Kim
MIACV
14
34
0
10 Apr 2023
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
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
Xiaojian Yuan
Kejiang Chen
Jie Zhang
Weiming Zhang
Neng H. Yu
Yangyi Zhang
21
34
0
20 Feb 2023
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
Surgan Jandial
Yash Khasbage
Arghya Pal
V. Balasubramanian
Balaji Krishnamurthy
19
6
0
21 Oct 2022
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
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
1