Exploiting Explanations for Model Inversion Attacks

26 April 2021

Papers citing "Exploiting Explanations for Model Inversion Attacks"

39 / 39 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
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations Kathleen Anderson Thomas Martinetz CVBM 73 0 0 12 Mar 2025
ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration Youngseok Kim Sunwook Hwang Hyung-Sin Kim S. Bahk DiffM 3DPC 54 0 0 10 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
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 66 0 0 26 Feb 2025
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
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 46 19 0 16 Jul 2024
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics Ivan A. Fernandez Subash Neupane Trisha Chakraborty Shaswata Mitra Sudip Mittal Nisha Pillai Jingdao Chen Shahram Rahimi 52 1 0 27 Jun 2024
Privacy Implications of Explainable AI in Data-Driven Systems Fatima Ezzeddine 29 3 0 22 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 52 2 0 04 Jun 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
Towards a Game-theoretic Understanding of Explanation-based Membership Inference Attacks Kavita Kumari Murtuza Jadliwala S. Jha Anindya Maiti 42 2 0 10 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 73 8 0 31 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 41 4 0 21 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 37 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
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems Mathew J. Walter Aaron Barrett Kimberly Tam 22 5 0 08 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Generator Born from Classifier Runpeng Yu Xinchao Wang 35 4 0 05 Dec 2023
Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence Stephanie B. Baker Wei Xiang XAI 46 5 0 04 Dec 2023
Privacy-Preserving Algorithmic Recourse Sikha Pentyala Shubham Sharma Sanjay Kariyappa Freddy Lecue Daniele Magazzeni 37 5 0 23 Nov 2023
Passive Inference Attacks on Split Learning via Adversarial Regularization Xiaochen Zhu Xinjian Luo Yuncheng Wu Yangfan Jiang Xiaokui Xiao Beng Chin Ooi FedML 32 9 0 16 Oct 2023
Model Inversion Attack via Dynamic Memory Learning Gege Qi YueFeng Chen Xiaofeng Mao Binyuan Hui Xiaodan Li Rong Zhang Hui Xue 37 6 0 24 Aug 2023
Boosting Model Inversion Attacks with Adversarial Examples Shuai Zhou Tianqing Zhu Dayong Ye Xin Yu Wanlei Zhou AAML MIACV 43 17 0 24 Jun 2023
Re-thinking Model Inversion Attacks Against Deep Neural Networks Ngoc-Bao Nguyen Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-man Cheung 32 38 0 04 Apr 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
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes Sunwook Hwang Youngseok Kim Seongwon Kim S. Bahk Hyung-Sin Kim 3DPC 36 3 0 22 Nov 2022
Supervised Feature Compression based on Counterfactual Analysis V. Piccialli Dolores Romero Morales Cecilia Salvatore CML 32 2 0 17 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 35 14 0 08 Nov 2022
On the utility and protection of optimization with differential privacy and classic regularization techniques Eugenio Lomurno Matteo matteucci 35 9 0 07 Sep 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 34 40 0 22 Aug 2022
Towards Data-Free Model Stealing in a Hard Label Setting Sunandini Sanyal Sravanti Addepalli R. Venkatesh Babu AAML 35 85 0 23 Apr 2022
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It Dayong Ye Huiqiang Chen Shuai Zhou Tianqing Zhu Wanlei Zhou S. Ji MIACV 22 6 0 13 Mar 2022
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions Chamara Sandeepa Bartlomiej Siniarski N. Kourtellis Shen Wang Madhusanka Liyanage 29 21 0 08 Mar 2022
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks Lukas Struppek Dominik Hintersdorf Antonio De Almeida Correia Antonia Adler Kristian Kersting MIACV 63 62 0 28 Jan 2022
Seven challenges for harmonizing explainability requirements Jiahao Chen Victor Storchan 31 8 0 11 Aug 2021
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 24 18 0 10 Dec 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 73 25 0 27 Apr 2020