Adversarial Learning for Recommendation: Applications for Security and Generative Tasks – Concept to Code

To start the Hands-on Session access the Jupyter Notebook:

• Source: 🤖Adversarial Learning for Recommendation: Applications for Security and Generative Tasks – Concept to Code
• Video Presentation: Here
• Slides: Here

Before moving on with this hands-on you might want to take a look at:

• 📗 Adversarial Machine Learning in Recommender Systems: State of the art and Challenges
• 📗 Adversarial Personalized Ranking for Recommendation

Other Resources

• Code Targeted Adversarial Attack against Multimedia Recommender Systems (TAaMR)

For information, please contact us at

• Vito Walter Anelli vitowalteranelli@poliba.it
• Yashar Deldjoo yashar.deldjoo@poliba.it
• Tommaso Di Noia tommaso.dinoia@poliba.it
• Felice Merra felice.merra@poliba.it (main contact)