Anisa Halimi

Researcher, Research, International Business Machines

Joined

May 2022

Names

Anisa Halimi (Preferred)

Emails

****@ibm.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Research, International Business Machines (ibm.com)

2021 – Present

Advisors, Relations & Conflicts

PhD Advisor

Erman Ayday

2015 – 2021

Expertise

Data Privacy

Present

AI Privacy and Security

Present

Publications

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings
Abdullah Caglar Oksuz, Anisa Halimi, Erman Ayday
- Submitted to ICLR 2026
- Readers: Everyone
In-Context Bias Propagation in LLM-Based Tabular Data Generation
Pol G. Recasens, Alberto Gutierrez-Torre, Jordi Torres, Josep Lluis Berral, Anisa Halimi, Kieran Fraser
- DIG-BUG Long
- Readers: Everyone
Privacy-Preserving Model and Preprocessing Verification for Machine Learning
Wenbiao Li, Anisa Halimi, Xiaoqian Jiang, Jaideep Vaidya, Erman Ayday
- CoRR 2025
- Readers: Everyone
Data Forging Is Harder Than You Think
Mohamed Suliman, Swanand Kadhe, Anisa Halimi, Douglas Leith, Nathalie Baracaldo, Ambrish Rawat
- PML
- Readers: Everyone
AUTOLYCUS: Exploiting Explainable Artificial Intelligence (XAI) for Model Extraction Attacks against Interpretable Models
Abdullah Çaglar Öksüz, Anisa Halimi, Erman Ayday
- Proc. Priv. Enhancing Technol. 2024
- Readers: Everyone
AI-driven Workload Management in Meta OS
Liubov Nedoshivina, Killian Levacher, Kieran Fraser, Anisa Halimi, Stefano Braghin
- MECC@EuroSys 2024
- Readers: Everyone
Towards a Re-evaluation of Data Forging Attacks in Practice
Mohamed Suliman, Anisa Halimi, Swanand Kadhe, Nathalie Baracaldo, Douglas J. Leith
- CoRR 2024
- Readers: Everyone
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
Swanand Kadhe, Anisa Halimi, Ambrish Rawat, Nathalie Baracaldo
- SoLaR Poster
- Readers: Everyone
Re-evaluating the Privacy Benefit of Federated Learning
Mohamed Suliman, Douglas J. Leith, Anisa Halimi
- PKDD/ECML Workshops (5) 2023
- Readers: Everyone
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
Swanand Ravindra Kadhe, Anisa Halimi, Ambrish Rawat, Nathalie Baracaldo
- CoRR 2023
- Readers: Everyone

View all 25 publications

Co-Authors

View all 31 co-authors