Towards Indestructible Molecular Robots. - Ilir Çapuni; Anisa Halimi; Dorjan Hitaj (SOFSEM (Student Research Forum Papers / Posters), 2015)

Profile Matching Across Unstructured Online Social Networks: Threats and Countermeasures. - Anisa Halimi; Erman Ayday (CoRR, 2017)

Efficient Quantification of Profile Matching Risk in Social Networks Using Belief Propagation. - Anisa Halimi; Erman Ayday (ESORICS (1), 2020)

Profile Matching Across Online Social Networks. - Anisa Halimi; Erman Ayday (ICICS, 2020)

Efficient Quantification of Profile Matching Risk in Social Networks. - Anisa Halimi; Erman Ayday (CoRR, 2020)

Real-time privacy risk quantification in online social networks. - Anisa Halimi; Erman Ayday (ASONAM, 2021)

ShareTrace: an iterative message passing algorithm for efficient and effective disease risk assessment on an interaction graph. - Erman Ayday; Youngjin Yoo; Anisa Halimi (BCB, 2021)

Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy. - Leonard Dervishi; Xinyue Wang 003; Wentao Li; Anisa Halimi; Jaideep Vaidya; Xiaoqian Jiang; Erman Ayday (AMIA, 2022)

ShareTrace: Contact Tracing with the Actor Model. - Ryan Tatton; Erman Ayday; Youngjin Yoo; Anisa Halimi (HealthCom, 2022)

ShareTrace: Contact Tracing with Asynchronous, Parallel Message Passing on a Temporal Graph. - Ryan Tatton; Erman Ayday; Youngjin Yoo; Anisa Halimi (CoRR, 2022)

Federated Unlearning: How to Efficiently Erase a Client in FL? - Anisa Halimi; Swanand Kadhe; Ambrish Rawat; Nathalie Baracaldo (CoRR, 2022)

Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies. - Anisa Halimi; Leonard Dervishi; Erman Ayday; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; Jean-Pierre Hubaux; Xiaoqian Jiang; Jaideep Vaidya (Proc. Priv. Enhancing Technol., 2022)

Re-evaluating the Privacy Benefit of Federated Learning. - Mohamed Suliman 002; Douglas J. Leith; Anisa Halimi (PKDD/ECML Workshops (5), 2023)

Privacy preserving identification of population stratification for collaborative genomic research. - Leonard Dervishi; Wenbiao Li; Anisa Halimi; Xiaoqian Jiang; Jaideep Vaidya; Erman Ayday (Bioinform., 2023)

AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Decision Tree Models. - Abdullah Çaglar Öksüz; Anisa Halimi; Erman Ayday (CoRR, 2023)

FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs. - Swanand Ravindra Kadhe; Anisa Halimi; Ambrish Rawat; Nathalie Baracaldo (CoRR, 2023)

AI-driven Workload Management in Meta OS. - Liubov Nedoshivina; Killian Levacher; Kieran Fraser; Anisa Halimi; Stefano Braghin (MECC@EuroSys, 2024)

Towards a Re-evaluation of Data Forging Attacks in Practice. - Mohamed Suliman 002; Anisa Halimi; Swanand Kadhe; Nathalie Baracaldo; Douglas J. Leith (CoRR, 2024)

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)

Privacy-Preserving Model and Preprocessing Verification for Machine Learning. - Wenbiao Li; Anisa Halimi; Xiaoqian Jiang; Jaideep Vaidya; Erman Ayday (CoRR, 2025)

In-Context Bias Propagation in LLM-Based Tabular Data Generation. - Pol G. Recasens; Alberto Gutierrez; Jordi Torres; Josep Lluís Berral; Anisa Halimi; Kieran Fraser (CoRR, 2025)