From ef1df5a57b390fd9ee4cd2a13c62f1ff789a7034 Mon Sep 17 00:00:00 2001 From: Zhanke Zhou <45969108+AndrewZhou924@users.noreply.github.com> Date: Wed, 30 Nov 2022 10:29:29 +0800 Subject: [PATCH] Update README.md --- README.md | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index f291d39..51a4b61 100644 --- a/README.md +++ b/README.md @@ -112,7 +112,6 @@ CVPR 2021 - Soteria: Provable defense against privacy leakage in federated learn CVPR 2021 - Imagine: Image synthesis by image-guided model inversion. [[paper]](https://openaccess.thecvf.com/content/CVPR2021/papers/Wang_IMAGINE_Image_Synthesis_by_Image-Guided_Model_Inversion_CVPR_2021_paper.pdf) - NeurIPS 2021 - Variational Model Inversion Attacks. [[paper]](https://proceedings.neurips.cc/paper/2021/file/50a074e6a8da4662ae0a29edde722179-Paper.pdf) [[code]](https://github.com/wangkua1/vmi) @@ -149,6 +148,9 @@ DAC 2021 - PRID: Model Inversion Privacy Attacks in Hyperdimensional Learning Sy ICSE 2021 - Robustness of on-device models: Adversarial attack to deep learning models on android apps. [[paper]](https://arxiv.org/pdf/2101.04401) +CSR Workshops 2021 - Defending Against Model Inversion Attack by Adversarial Examples. +[[paper]]https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9527945) + ICML 2022 - Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks. [[paper]](https://arxiv.org/pdf/2201.12179.pdf) [[code]](https://github.com/LukasStruppek/Plug-and-Play-Attacks) @@ -237,5 +239,11 @@ Arxiv 2022 - Text Revealer: Private Text Reconstruction via Model Inversion Atta ### Others +2019 - Model Inversion Attacks Against Collaborative Inference. +[[slides]](https://www.acsac.org/2019/program/final/1/167.pdf) + +2020 - Attacks against Machine Learning Privacy (Part 1): Model Inversion Attacks with the IBM-ART Framework. +[[blog]](https://franziska-boenisch.de/posts/2020/12/model-inversion/) + 2021 - ML and DP. [[slides]](https://www.cs.toronto.edu/~toni/Courses/Fairness/Lectures/ML-and-DP-v2.pdf)