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cs.CR2025
Defending Against Beta Poisoning Attacks in Machine Learning Models
Nilufer Gulciftci, M. Emre Gursoy
Poisoning attacks, in which an attacker adversarially manipulates the training dataset of a machine learning (ML) model, pose a significant threat to ML security. Beta Poisoning is…
cs.CR2025
Post-Processing in Local Differential Privacy: An Extensive Evaluation and Benchmark Platform
Alireza Khodaie, Berkay Kemal Balioglu, Mehmet Emre Gursoy
Local differential privacy (LDP) has recently gained prominence as a powerful paradigm for collecting and analyzing sensitive data from users' devices. However, the inherent pertur…
cs.CR2024
Grid-Based Decompositions for Spatial Data under Local Differential Privacy
Berkay Kemal Balioglu, Alireza Khodaie, Ameer Taweel +1
Local differential privacy (LDP) has recently emerged as a popular privacy standard. With the growing popularity of LDP, several recent works have applied LDP to spatial data, and…