MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI

19 July 2021

Papers citing "MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI"

26 / 26 papers shown

Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review Sonal Allana Mohan Kankanhalli Rozita Dara 32 0 0 05 May 2025
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
Models That Are Interpretable But Not Transparent Chudi Zhong Panyu Chen Cynthia Rudin AAML 66 0 0 26 Feb 2025
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks Awa Khouna Julien Ferry Thibaut Vidal AAML 49 0 0 07 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
Cybersecurity in Industry 5.0: Open Challenges and Future Directions Bruno Santos Rogério Luís C. Costa Leonel Santos AI4CE 34 1 0 12 Oct 2024
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution Kiana Vu Phung Lai Truc D. T. Nguyen AAML 36 0 0 13 Sep 2024
VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces Somnath Sendhil Kumar Yuvaraj Govindarajulu Pavan Kulkarni Manojkumar Somabhai Parmar FAtt 46 0 0 04 Aug 2024
Privacy Implications of Explainable AI in Data-Driven Systems Fatima Ezzeddine 29 3 0 22 Jun 2024
Knowledge Distillation-Based Model Extraction Attack using Private Counterfactual Explanations Fatima Ezzeddine Omran Ayoub Silvia Giordano AAML MIACV 45 0 0 04 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 68 8 0 31 Mar 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 31 3 0 22 Jan 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 26 5 0 22 Dec 2023
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity Zhihao Zhu Chenwang Wu Rui Fan Yi Yang Defu Lian Enhong Chen AAML 27 0 0 18 Dec 2023
Continual Learning From a Stream of APIs Enneng Yang Zhenyi Wang Li Shen Nan Yin Tongliang Liu Guibing Guo Xingwei Wang Dacheng Tao CLL 27 3 0 31 Aug 2023
Data-Free Model Extraction Attacks in the Context of Object Detection Harshit Shah G. Aravindhan Pavan Kulkarni Yuvaraj Govidarajulu Manojkumar Somabhai Parmar MIACV AAML 44 3 0 09 Aug 2023
FDINet: Protecting against DNN Model Extraction via Feature Distortion Index Hongwei Yao Zheng Li Haiqin Weng Feng Xue Kui Ren Zhan Qin 23 4 0 20 Jun 2023
Extracting Cloud-based Model with Prior Knowledge Songtao Zhao Kangjie Chen Meng Hao Jian Zhang Guowen Xu Hongwei Li Tianwei Zhang AAML MIACV SILM MLAU SLR 39 5 0 07 Jun 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data Pratik Karmakar D. Basu MIACV 23 6 0 16 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models Abdullah Çaglar Öksüz Anisa Halimi Erman Ayday ELM AAML 21 2 0 04 Feb 2023
XRand: Differentially Private Defense against Explanation-Guided Attacks Truc D. T. Nguyen Phung Lai Nhathai Phan My T. Thai AAML SILM 27 14 0 08 Dec 2022
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference Linshan Jiang Qun Song Rui Tan Mo Li 16 4 0 12 Nov 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
Increasing the Cost of Model Extraction with Calibrated Proof of Work Adam Dziedzic Muhammad Ahmad Kaleem Y. Lu Nicolas Papernot FedML MIACV AAML MLAU 68 28 0 23 Jan 2022
Data-Free Knowledge Transfer: A Survey Yuang Liu Wei Zhang Jun Wang Jianyong Wang 35 48 0 31 Dec 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 162 0 20 Oct 2020