Bilateral Dependency Optimization: Defending Against Model-inversion
Attacks

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

11 June 2022

Bo Han

Papers citing "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"

18 / 18 papers shown

Title
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 57 0 0 20 Mar 2025
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation Shiyi Jiang F. Firouzi Krishnendu Chakrabarty AAML MedIm 41 0 0 19 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 54 2 0 01 Mar 2025
CALoR: Towards Comprehensive Model Inversion Defense Hongyao Yu Yixiang Qiu Hao Fang Bin Chen Sijin Yu Bin Wang Shu-Tao Xia Ke Xu 27 1 0 08 Oct 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 30 1 0 07 Oct 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 39 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 23 3 0 16 Jul 2024
Model Inversion Robustness: Can Transfer Learning Help? Sy-Tuyen Ho Koh Jun Hao Keshigeyan Chandrasegaran Ngoc-Bao Nguyen Ngai-man Cheung 40 8 0 09 May 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 33 4 0 21 Mar 2024
Label-Only Model Inversion Attacks via Knowledge Transfer Ngoc-Bao Nguyen Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-man Cheung 37 13 0 30 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 20 12 0 10 Oct 2023
Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning B. Le Simon S. Woo AAML 24 27 0 12 Sep 2023
Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model Rongke Liu Dong Wang Yizhi Ren Zhen Wang Kaitian Guo Qianqian Qin Xiaolei Liu DiffM 19 12 0 17 Jul 2023
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation Ruijiang Dong Feng Liu Haoang Chi Tongliang Liu Mingming Gong Gang Niu Masashi Sugiyama Bo Han 19 5 0 12 Jul 2023
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training Fan Liu Weijiao Zhang Haowen Liu AI4TS OOD 10 9 0 25 Jun 2023
Boosting Model Inversion Attacks with Adversarial Examples Shuai Zhou Tianqing Zhu Dayong Ye Xin Yu Wanlei Zhou AAML MIACV 29 17 0 24 Jun 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation Zhanke Zhou Chenyu Zhou Xuan Li Jiangchao Yao Quanming Yao Bo Han AAML 37 17 0 15 Jun 2023
Re-thinking Model Inversion Attacks Against Deep Neural Networks Ngoc-Bao Nguyen Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-man Cheung 27 38 0 04 Apr 2023