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Towards Data-Free Model Stealing in a Hard Label Setting

Towards Data-Free Model Stealing in a Hard Label Setting

23 April 2022
Sunandini Sanyal
Sravanti Addepalli
R. Venkatesh Babu
    AAML
ArXivPDFHTML

Papers citing "Towards Data-Free Model Stealing in a Hard Label Setting"

14 / 14 papers shown
Title
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
AAML
49
0
0
08 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
ModelShield: Adaptive and Robust Watermark against Model Extraction Attack
ModelShield: Adaptive and Robust Watermark against Model Extraction Attack
Kaiyi Pang
Tao Qi
Chuhan Wu
Minhao Bai
Minghu Jiang
Yongfeng Huang
AAML
WaLM
72
2
0
03 May 2024
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
63
3
0
20 Nov 2023
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based
  sample selection
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection
Akshit Jindal
Vikram Goyal
Saket Anand
Chetan Arora
FedML
20
2
0
08 Nov 2023
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
Vlad Hondru
Radu Tudor Ionescu
DiffM
47
1
0
29 Sep 2023
Isolation and Induction: Training Robust Deep Neural Networks against
  Model Stealing Attacks
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
32
12
0
02 Aug 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free
  Substitute Attacks
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
Mingwen Shao
Lingzhuang Meng
Yuanjian Qiao
Lixu Zhang
W. Zuo
DiffM
29
0
0
24 Jul 2023
Data-free Defense of Black Box Models Against Adversarial Attacks
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
I Know What You Trained Last Summer: A Survey on Stealing Machine
  Learning Models and Defences
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
MEGEX: Data-Free Model Extraction Attack against Gradient-Based
  Explainable AI
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
Delving into Data: Effectively Substitute Training for Black-box Attack
Delving into Data: Effectively Substitute Training for Black-box Attack
Wenxuan Wang
Bangjie Yin
Taiping Yao
Li Zhang
Yanwei Fu
Shouhong Ding
Jilin Li
Feiyue Huang
Xiangyang Xue
AAML
60
63
0
26 Apr 2021
Deep Serial Number: Computational Watermarking for DNN Intellectual
  Property Protection
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection
Ruixiang Tang
Mengnan Du
Xia Hu
30
3
0
17 Nov 2020
1