From 8df156e60c34055df041200c7751dcb8ad3586d5 Mon Sep 17 00:00:00 2001
From: AlvinYu <125203137+AlvinYu025@users.noreply.github.com>
Date: Mon, 10 Jul 2023 11:57:41 +0800
Subject: [PATCH] Update README.md

---
 README.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/README.md b/README.md
index fd5c5c5..739475e 100644
--- a/README.md
+++ b/README.md
@@ -567,6 +567,7 @@ ICML 2023 - On Strengthening and Defending Graph Reconstruction Attack with Mark
 | 2020 | Information Leakage in Embedding Models | black & white-box | CCS | [Paper](https://arxiv.org/pdf/2004.00053.pdf) |  |
 | 2020    | KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records                  | black-box             | arXiv                              | [Paper](https://arxiv.org/abs/2101.00036)                                                                                          |           |
 | 2021 | TAG: Gradient Attack on Transformer-based Language Models | white-box | EMNLP | [Paper](https://arxiv.org/pdf/2103.06819.pdf) |  |
+| 2021 | Dataset Reconstruction Attack against Language Models | black-box | CEUR workshop | [paper](https://ceur-ws.org/Vol-2942/paper1.pdf) |  |
 | 2022 | KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models | black-box | Arxiv | [paper](https://arxiv.org/pdf/2101.00036v1.pdf) | [code](https://github.com/yutanakamura-tky/kart) |
 | 2022 | Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers | white-box | Arxiv | [Paper](https://arxiv.org/pdf/2209.10505.pdf) |  |
 | 2022 | Canary Extraction in Natural Language Understanding Models | white-box | ACL | [paper](https://arxiv.org/pdf/2203.13920.pdf) |  |
@@ -588,6 +589,9 @@ CCS 2020 - Information Leakage in Embedding Models
 EMNLP 2021 - TAG: Gradient Attack on Transformer-based Language Models
 [[paper]](https://arxiv.org/pdf/2103.06819.pdf)
 
+CEUR workshop 2021 - Dataset Reconstruction Attack against Language Models
+[[paper]](https://ceur-ws.org/Vol-2942/paper1.pdf)
+
 Arxiv 2022 - KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models
 [[paper]](https://arxiv.org/abs/2101.00036v1)
 [[code]](https://github.com/yutanakamura-tky/kart)