Afaf Taïk

According to our database, Afaf Taïk authored at least 24 papers between 2020 and 2026.

Collaborative distances:

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

2026

CIRCLE: A Framework for Evaluating AI from a Real-World Lens.

Reva Schwartz, Carina Westling, Morgan Briggs, Marzieh Fadaee, Isar Nejadgholi, Matthew Holmes, Fariza Rashid, Maya Carlyle, Afaf Taïk, Kyra Wilson, Peter Douglas, Theodora Skeadas, Gabriella Waters, Rumman Chowdhury, Thiago Lacerda

CoRR, February, 2026

Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework.

Cléa Chataigner, Rebecca Ma, Prakhar Ganesh, Yuhao Chen, Afaf Taïk, Elliot Creager, Golnoosh Farnadi

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Balancing Profit and Fairness in Risk-Based Pricing Markets.

Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi

CoRR, June, 2025

Fairness in Federated Learning: Fairness for Whom?

Afaf Taïk, Khaoula Chehbouni, Golnoosh Farnadi

CoRR, May, 2025

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects.

Reva Schwartz, Rumman Chowdhury, Akash Kundu, Heather Frase, Marzieh Fadaee, Tom David, Gabriella Waters, Afaf Taïk, Morgan Briggs, Patrick Hall, Shomik Jain, Kyra Yee, Spencer Thomas, Sundeep Bhandari, Paul Duncan, Andrew Thompson, Maya Carlyle, Qinghua Lu, Matthew Holmes, Theodora Skeadas

CoRR, May, 2025

Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework.

Cléa Chataigner, Rebecca Ma, Prakhar Ganesh, Afaf Taïk, Elliot Creager, Golnoosh Farnadi

CoRR, May, 2025

The Curious Case of Arbitrariness in Machine Learning.

Prakhar Ganesh, Afaf Taïk, Golnoosh Farnadi

CoRR, January, 2025

Differentially Private Clustered Federated Learning.

Saber Malekmohammadi, Afaf Taïk, Golnoosh Farnadi

Trans. Mach. Learn. Res., 2025

Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy.

Khaoula Chehbouni, Martine De Cock, Gilles Caporossi, Afaf Taïk, Reihaneh Rabbany, Golnoosh Farnadi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Multilingual Hallucination Gaps in Large Language Models.

Cléa Chataigner, Afaf Taïk, Golnoosh Farnadi

CoRR, 2024

Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering.

Saber Malekmohammadi, Afaf Taïk, Golnoosh Farnadi

CoRR, 2024

Fairness Incentives in Response to Unfair Dynamic Pricing.

Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi

CoRR, 2024

Multilingual Hallucination Gaps.

Cléa Chataigner, Afaf Taïk, Golnoosh Farnadi

Proceedings of the Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 2024

From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards.

Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie Chi Kit Cheung, Golnoosh Farnadi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread.

Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks.

Amine Abouaomar, Afaf Taïk, Abderrahime Filali, Soumaya Cherkaoui

IEEE Commun. Mag., February, 2023

Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements.

Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

Clustered Vehicular Federated Learning: Process and Optimization.

Afaf Taïk, Zoubeir Mlika, Soumaya Cherkaoui

IEEE Trans. Intell. Transp. Syst., 2022

Data-Aware Device Scheduling for Federated Edge Learning.

Afaf Taïk, Zoubeir Mlika, Soumaya Cherkaoui

IEEE Trans. Cogn. Commun. Netw., 2022

Federated Learning for RAN Slicing in Beyond 5G Networks.

Amine Abouaomar, Afaf Taïk, Abderrahime Filali, Soumaya Cherkaoui

CoRR, 2022

2021

Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning.

Afaf Taïk, Boubakr Nour, Soumaya Cherkaoui

IEEE Wirel. Commun., 2021

Federated Edge Learning: Design Issues and Challenges.

Afaf Taïk, Soumaya Cherkaoui

IEEE Netw., 2021

Data-Quality Based Scheduling for Federated Edge Learning.

Afaf Taïk, Hajar Moudoud, Soumaya Cherkaoui

Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

2020

Electrical Load Forecasting Using Edge Computing and Federated Learning.

Afaf Taïk, Soumaya Cherkaoui

Proceedings of the 2020 IEEE International Conference on Communications, 2020