ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.05921
  4. Cited By
Thief, Beware of What Get You There: Towards Understanding Model
  Extraction Attack

Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack

13 April 2021
Xinyi Zhang
Chengfang Fang
Jie Shi
    MIACVMLAUSILM
ArXiv (abs)PDFHTML

Papers citing "Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack"

9 / 9 papers shown
I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks
I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks
Daryna Oliynyk
Rudolf Mayer
Kathrin Grosse
Andreas Rauber
163
1
0
29 Aug 2025
DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation
DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation
Pingzhi Li
Zhen Tan
Huaizhi Qu
Huan Liu
Tianlong Chen
Tianlong Chen
AAML
315
6
0
26 May 2025
Evolving Security in LLMs: A Study of Jailbreak Attacks and Defenses
Evolving Security in LLMs: A Study of Jailbreak Attacks and Defenses
Zhengchun Shang
Wenlan Wei
Weiheng Bai
AAML
543
8
0
02 Apr 2025
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
AAML
295
0
0
08 Mar 2025
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu Wang
Olivera Kotevska
Philip S. Yu
Hanyu Wang
386
35
0
31 Aug 2023
A Comprehensive Survey on Trustworthy Recommender Systems
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
280
67
0
21 Sep 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 DefencesACM Computing Surveys (ACM CSUR), 2022
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
353
162
0
16 Jun 2022
Increasing the Cost of Model Extraction with Calibrated Proof of Work
Increasing the Cost of Model Extraction with Calibrated Proof of WorkInternational Conference on Learning Representations (ICLR), 2022
Adam Dziedzic
Muhammad Ahmad Kaleem
Y. Lu
Nicolas Papernot
FedMLMIACVAAMLMLAU
297
37
0
23 Jan 2022
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Thieves on Sesame Street! Model Extraction of BERT-based APIsInternational Conference on Learning Representations (ICLR), 2019
Kalpesh Krishna
Gaurav Singh Tomar
Ankur P. Parikh
Nicolas Papernot
Mohit Iyyer
MIACVMLAU
608
240
0
27 Oct 2019
1
Page 1 of 1