Manel Slokom

According to our database, Manel Slokom authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Exploring Privacy-Preserving Techniques on Synthetic Data as a Defense Against Model Inversion Attacks.

Manel Slokom, Peter-Paul de Wolf, Martha A. Larson

Proceedings of the Information Security - 26th International Conference, 2023

2022

Machine Learning Meets Data Modification - The Potential of Pre-processing for Privacy Enchancement.

Giuseppe Garofalo, Manel Slokom, Davy Preuveneers, Wouter Joosen, Martha A. Larson

Security and Artificial Intelligence, 2022

Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews.

Danny Stax, Manel Slokom, Martha A. Larson

CoRR, 2022

Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation.

Manel Slokom, Özlem Özgöbek, Martha A. Larson

CoRR, 2022

When Machine Learning Models Leak: An Exploration of Synthetic Training Data.

Manel Slokom, Peter-Paul de Wolf, Martha A. Larson

Proceedings of the Privacy in Statistical Databases - International Conference, 2022

2021

Towards user-oriented privacy for recommender system data: A personalization-based approach to gender obfuscation for user profiles.

Manel Slokom, Alan Hanjalic, Martha A. Larson

Inf. Process. Manag., 2021

Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems.

Manel Slokom, Martha A. Larson

CoRR, 2021

SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research.

Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding.

Manel Slokom, Martha A. Larson, Alan Hanjalic

CoRR, 2020

2019

BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix.

Christopher Strucks, Manel Slokom, Martha A. Larson

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Data Masking for Recommender Systems: Prediction Performance and Rating Hiding.

Manel Slokom, Martha A. Larson, Alan Hanjalic

Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

Up Close, but not too Personal: Hypotargeting for Recommender Systems.

Martha A. Larson, Manel Slokom

Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019

2018

Comparing recommender systems using synthetic data.

Manel Slokom

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017

A New Social Recommender System Based on Link Prediction Across Heterogeneous Networks.

Manel Slokom, Raouia Ayachi

Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

2015

Towards a new possibilistic collaborative filtering approach.

Manel Slokom, Raouia Ayachi

Proceedings of the Second International Conference on Computer Science, 2015