Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2005.03161
Cited By
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
6 May 2020
Sanjay Kariyappa
A. Prakash
Moinuddin K. Qureshi
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation"
29 / 29 papers shown
Title
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
AAML
46
0
0
08 Mar 2025
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
Ankita Raj
Deepankar Varma
Chetan Arora
AAML
70
1
0
25 Feb 2025
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks
Yixiao Xu
Binxing Fang
Rui Wang
Yinghai Zhou
S. Ji
Yuan Liu
Mohan Li
Zhihong Tian
MIACV
AAML
63
0
0
20 Jan 2025
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
Pucheng Dang
Xing Hu
Dong Li
Rui Zhang
Qi Guo
Kaidi Xu
DiffM
36
5
0
18 Aug 2024
Stolen Subwords: Importance of Vocabularies for Machine Translation Model Stealing
Vilém Zouhar
AAML
35
0
0
29 Jan 2024
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
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang
Yushun Dong
Chen Chen
Yada Zhu
Minnan Luo
Jundong Li
35
3
0
20 Oct 2023
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
Jan Dubiñski
Stanislaw Pawlak
Franziska Boenisch
Tomasz Trzciñski
Adam Dziedzic
AAML
29
3
0
12 Oct 2023
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
Vlad Hondru
Radu Tudor Ionescu
DiffM
44
1
0
29 Sep 2023
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
Jun Guo
Aishan Liu
Xingyu Zheng
Siyuan Liang
Yisong Xiao
Yichao Wu
Xianglong Liu
AAML
30
12
0
02 Aug 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
Mingwen Shao
Lingzhuang Meng
Yuanjian Qiao
Lixu Zhang
W. Zuo
DiffM
23
0
0
24 Jul 2023
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
On the Limitations of Model Stealing with Uncertainty Quantification Models
David Pape
Sina Daubener
Thorsten Eisenhofer
Antonio Emanuele Cinà
Lea Schonherr
30
3
0
09 May 2023
Edge Deep Learning Model Protection via Neuron Authorization
Jinyin Chen
Haibin Zheng
T. Liu
Rongchang Li
Yao Cheng
Xuhong Zhang
S. Ji
FedML
16
0
0
22 Mar 2023
Data-free Defense of Black Box Models Against Adversarial Attacks
Gaurav Kumar Nayak
Inder Khatri
Ruchit Rawal
Anirban Chakraborty
AAML
25
1
0
03 Nov 2022
Careful What You Wish For: on the Extraction of Adversarially Trained Models
Kacem Khaled
Gabriela Nicolescu
F. Magalhães
MIACV
AAML
27
4
0
21 Jul 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
39
106
0
16 Jun 2022
Lazy Queries Can Reduce Variance in Zeroth-order Optimization
Quan-Wu Xiao
Qing Ling
Tianyi Chen
33
0
0
14 Jun 2022
IDEAL: Query-Efficient Data-Free Learning from Black-box Models
Jie M. Zhang
Chen Chen
Lingjuan Lyu
55
14
0
23 May 2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks
Chi Hong
Jiyue Huang
L. Chen
16
2
0
31 Jan 2022
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data
Masataka Tasumi
Kazuki Iwahana
Naoto Yanai
Katsunari Shishido
Toshiya Shimizu
Yuji Higuchi
I. Morikawa
Jun Yajima
AAML
26
4
0
30 Sep 2021
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
32
16
0
20 Sep 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
T. Miura
Satoshi Hasegawa
Toshiki Shibahara
SILM
MIACV
16
37
0
19 Jul 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks
A. M. Sadeghzadeh
Amir Mohammad Sobhanian
F. Dehghan
R. Jalili
MIACV
17
7
0
21 Jun 2021
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack
Yixu Wang
Jie Li
Hong Liu
Yan Wang
Yongjian Wu
Feiyue Huang
Rongrong Ji
AAML
22
34
0
03 May 2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
Xiaodan Li
Jinfeng Li
YueFeng Chen
Shaokai Ye
Yuan He
Shuhui Wang
Hang Su
Hui Xue
6
44
0
04 Mar 2021
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation
Xiaoyang Qu
Jianzong Wang
Jing Xiao
16
14
0
23 Feb 2021
Data-Free Model Extraction
Jean-Baptiste Truong
Pratyush Maini
R. Walls
Nicolas Papernot
MIACV
15
181
0
30 Nov 2020
1