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@@ -6,3 +6,4 @@ This directory contains the code repositories for the research papers related to
 | --- | --- |
 | CCS 2022, [Enhanced Membership Inference Attacks against Machine Learning Models](https://dl.acm.org/doi/abs/10.1145/3548606.3560675) | [Code](https://github.com/privacytrustlab/ml_privacy_meter/tree/295e7e37e889e12df4083b812f71ed2e2ddd8b4a/research/2022_enhanced_mia) |
 | ICML 2024, [Low-Cost High-Power Membership Inference Attacks](https://openreview.net/pdf?id=sT7UJh5CTc)| [Code](https://github.com/privacytrustlab/ml_privacy_meter/tree/d32734161a3395211fe5f3cd461932290b1fafbe/research/2024_rmia) |
+| ICLR 2025, [How Much of My Dataset Did You Use? Quantitative Data Usage Inference in Machine Learning](https://openreview.net/forum?id=EUSkm2sVJ6&noteId=7k2pfoFzY3) | [Code](https://github.com/YnezT0311/project_dataset_usage_inference)