GitHub topics: shilling-attack
KDEGroup/ShillingAttackReadingList
Paper Reading list for Shilling Attack and Defense on Recommender Systems
Size: 51.8 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 16 - Forks: 2
Coder-Yu/SDLib
A Python library used to collect shilling detection methods and generate simulated attackers. (for academic use)
Language: Python - Size: 799 KB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 58 - Forks: 30
merrafelice/merrafelice.github.io Fork of ankitsultana/researcher
Felice Antonio Merra's Personal Blog. Follow my research activity! @merrafelice
Language: HTML - Size: 8.42 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
solid-market/telegram-shill-bot
Telegram Shill Bot, Telegram MASS Shill Bot, Shilling Bot, DM Bot, NO BAN, Python & JavaScript Lifetime Bot 🔥 Telegram Shilling, TG Shill Bot!
Language: Python - Size: 0 Bytes - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0
solid-market/auto-tweet-bot
Twitter Shill, Auto Tweet Bot 🚀 Engage With Followers, Grow Your Presence on Twitter! Save Time And Stay Active On Twitter With This Powerful Twitter Shill Automation Tool! 🐦, Auto Tweet Bot, Tweet Sender Bot Script, Python Script.
Language: Python - Size: 0 Bytes - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
KDEGroup/SUI-Attack
Source Code for CIKM'23 paper "Single-User Injection for Invisible Shilling Attack against Recommender Systems".
Language: Python - Size: 3.41 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
KDEGroup/PC-Attack
Source code for AAAI'23 paper "Practical Cross-System Shilling Attacks with Limited Access to Data".
Language: Python - Size: 2.85 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1
merrafelice/Semantic-Aware-Shilling-Attacks
In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. We performed an extensive experimental evaluation in order to investigate whether SAShA is more effective than baseline attacks against CF models by taking into account the impact of various semantic features.
Language: Python - Size: 112 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 2