From 7ff2c1d2b543ab1ea70c72a904a87ebfa0d9043c Mon Sep 17 00:00:00 2001 From: EdisonLeeeee Date: Fri, 21 Aug 2020 11:28:35 +0800 Subject: [PATCH] update 2 papers; update badges. --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 263f221..caeb432 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,8 @@ # Awesome Adversarial Learning on Recommender System (Updating) [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) -[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![Contributions Welcome](https://img.shields.io/badge/Contributions-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +![](https://img.shields.io/github/license/EdisonLeeeee/RS-Adversarial-Learning) ### 👉 Table of Contents 👈 + [Attack](#1) @@ -30,7 +31,7 @@ ## 2020 + **Data Poisoning Attacks on Neighborhood-based Recommender Systems**, *ETT*, [📝Paper](https://arxiv.org/abs/1912.04109) + **Attacking Black-box Recommendations via Copying Cross-domain User Profiles**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2005.08147) -+ **Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2006.07934) ++ **Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems**, *SIGIR*, [📝Paper](https://arxiv.org/abs/2006.07934) + **Adversarial Attacks on Linear Contextual Bandits**, *Arxiv*, [📝Paper](https://arxiv.org/pdf/2002.03839) + **Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2006.01888), [:octocat:Code](https://github.com/liuzrcc/AIP) + **Influence Function based Data Poisoning Attacks to Top-N Recommender Systems**, *WWW*, [📝Paper](https://arxiv.org/abs/2002.08025) @@ -39,6 +40,7 @@ + **Attacking Recommender Systems with Augmented User Profiles**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2005.08164) + **Practical Data Poisoning Attack against Next-Item Recommendation**, *WWW*, [📝Paper](https://dl.acm.org/doi/abs/10.1145/3366423.3379992) + **PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems**, *ICDE*, [📝Paper](https://ieeexplore.ieee.org/abstract/document/9101655) ++ **Data Poisoning Attacks against Differentially Private Recommender Systems**, *SIGIR*, [📝Paper](https://dl.acm.org/doi/abs/10.1145/3397271.3401301)