Variational Model Inversion Attacks

26 January 2022

Kuan-Chieh Jackson Wang

Ashish Khisti

Papers citing "Variational Model Inversion Attacks"

50 / 55 papers shown

Title
PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks Huzaifa Arif K. Murugesan Payel Das Alex Gittens Pin-Yu Chen AAML 31 0 0 08 Apr 2025
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning Ziang Li Hongguang Zhang Juan Wang Meihui Chen Hongxin Hu Wenzhe Yi Xiaoyang Xu Mengda Yang Chenjun Ma 62 0 0 20 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
PPO-MI: Efficient Black-Box Model Inversion via Proximal Policy Optimization Xinpeng Shou 81 0 0 21 Feb 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 100 0 0 30 Dec 2024
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense Yixiang Qiu Hongyao Yu Hao Fang Wenbo Yu Wenbo Yu Bin Chen Shu-Tao Xia Ke Xu Ke Xu AAML 35 1 0 07 Oct 2024
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? Rui Wen Michael Backes Yang Zhang TDI AAML 44 0 0 05 Sep 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 38 1 0 29 Aug 2024
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks Yixiang Qiu Hao Fang Hongyao Yu Bin Chen Meikang Qiu Shu-Tao Xia AAML 47 11 0 18 Jul 2024
Model Inversion Attacks Through Target-Specific Conditional Diffusion Models Ouxiang Li Yanbin Hao Zhicai Wang Bin Zhu Shuo Wang Zaixi Zhang Fuli Feng DiffM 25 3 0 16 Jul 2024
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment Yufan Liu Wanqian Zhang Dayan Wu Zheng-Shen Lin Jingzi Gu Weiping Wang 53 1 0 11 Jul 2024
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 49 1 0 05 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 52 2 0 04 Jun 2024
Model Inversion Robustness: Can Transfer Learning Help? Sy-Tuyen Ho Koh Jun Hao Keshigeyan Chandrasegaran Ngoc-Bao Nguyen Ngai-man Cheung 45 8 0 09 May 2024
Distributional Black-Box Model Inversion Attack with Multi-Agent Reinforcement Learning Huan Bao Kaimin Wei Yongdong Wu Jin Qian Robert H. Deng 43 0 0 22 Apr 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
Knowledge Distillation-Based Model Extraction Attack using Private Counterfactual Explanations Fatima Ezzeddine Omran Ayoub Silvia Giordano AAML MIACV 45 0 0 04 Apr 2024
Privacy Re-identification Attacks on Tabular GANs Abdallah Alshantti Adil Rasheed Frank Westad AAML 27 3 0 31 Mar 2024
MisGUIDE : Defense Against Data-Free Deep Learning Model Extraction Mahendra Gurve S. Behera Satyadev Ahlawat Yamuna Prasad MIACV AAML 29 0 0 27 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
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack Yinggui Wang Yuanqing Huang Jianshu Li Le Yang Kai Song Lei Wang AAML PICV 56 0 0 14 Mar 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium Hyewon Jeong Sarah Jabbour Yuzhe Yang Rahul Thapta Hussein Mozannar ... Linying Zhang Harvineet Singh Tom Hartvigsen Helen Zhou Chinasa T. Okolo VLM AI4TS OOD 43 2 0 03 Mar 2024
Breaking the Black-Box: Confidence-Guided Model Inversion Attack for Distribution Shift Xinhao Liu Yingzhao Jiang Zetao Lin 32 0 0 28 Feb 2024
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data Yvonne Zhou Mingyu Liang Ivan Brugere Dana Dachman-Soled Danial Dervovic Antigoni Polychroniadou Min Wu 26 1 0 06 Feb 2024
Building Guardrails for Large Language Models Yizhen Dong Ronghui Mu Gao Jin Yi Qi Jinwei Hu Xingyu Zhao Jie Meng Wenjie Ruan Xiaowei Huang OffRL 61 27 0 02 Feb 2024
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks Hamed Poursiami Ihsen Alouani Maryam Parsa AAML 40 3 0 01 Feb 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 29 3 0 22 Jan 2024
Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging Alexander Ziller Tamara T. Mueller Simon Stieger Leonhard F. Feiner Johannes Brandt R. Braren Daniel Rueckert Georgios Kaissis 58 1 0 05 Dec 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation Ali Abbasi Chayne Thrash Elaheh Akbari Daniel Zhang Soheil Kolouri MU 32 3 0 21 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning Ali Abbasi Parsa Nooralinejad Hamed Pirsiavash Soheil Kolouri CLL KELM AAML 34 5 0 20 Nov 2023
Label-Only Model Inversion Attacks via Knowledge Transfer Ngoc-Bao Nguyen Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-man Cheung 45 13 0 30 Oct 2023
PrivacyGAN: robust generative image privacy M. Zameshina Marlene Careil Olivier Teytaud Laurent Najman PICV 44 0 0 19 Oct 2023
When Machine Learning Models Leak: An Exploration of Synthetic Training Data Manel Slokom Peter-Paul de Wolf Martha Larson MIACV 38 1 0 12 Oct 2023
Defending Our Privacy With Backdoors Dominik Hintersdorf Lukas Struppek Daniel Neider Kristian Kersting SILM AAML 26 2 0 12 Oct 2023
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks Lukas Struppek Dominik Hintersdorf Kristian Kersting 22 12 0 10 Oct 2023
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach Sofiane Ouaari Ali Burak Ünal Mete Akgun Nícolas Pfeifer 32 0 0 08 Sep 2023
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs Zhenheng Tang Yuxin Wang Xin He Longteng Zhang Xinglin Pan ... Rongfei Zeng Kaiyong Zhao S. Shi Bingsheng He Xiaowen Chu 41 30 0 03 Sep 2023
Model Inversion Attack via Dynamic Memory Learning Gege Qi YueFeng Chen Xiaofeng Mao Binyuan Hui Xiaodan Li Rong Zhang Hui Xue 34 6 0 24 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 25 4 0 18 Aug 2023
Boosting Model Inversion Attacks with Adversarial Examples Shuai Zhou Tianqing Zhu Dayong Ye Xin Yu Wanlei Zhou AAML MIACV 40 17 0 24 Jun 2023
Reinforcement Learning-Based Black-Box Model Inversion Attacks Gyojin Han Jaehyun Choi Haeil Lee Junmo Kim MIACV 19 34 0 10 Apr 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
Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations Lukas Struppek Dominik Hintersdorf Felix Friedrich Manuel Brack P. Schramowski Kristian Kersting MIACV 33 2 0 16 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 24 1 0 09 Mar 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network Xiaojian Yuan Kejiang Chen Jie Zhang Weiming Zhang Neng H. Yu Yangyi Zhang 26 34 0 20 Feb 2023
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models Hossein Hajipour Keno Hassler Thorsten Holz Lea Schonherr Mario Fritz ELM 40 20 0 08 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 37 17 0 03 Feb 2023
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers Ruisi Zhang Seira Hidano F. Koushanfar SILM 71 26 0 21 Sep 2022
Does CLIP Know My Face? Dominik Hintersdorf Lukas Struppek Manuel Brack Felix Friedrich P. Schramowski Kristian Kersting VLM 21 9 0 15 Sep 2022
Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion Si-An Chen Yi Zeng J. T.Wang Won Park Xun Chen Lingjuan Lyu Zhuoqing Mao R. Jia 15 3 0 14 Jun 2022