Merge pull request #134 from privacytrustlab/rzshokri-patch-3

Update README.md

research/README.md

@@ -1,8 +1,8 @@
 # Research Papers
 
-This directory contains research papers that are relevant to the privacy auditing from our group. We have also included the links to the respective implementations.
+This directory contains the code repositories for the research papers related to the Privacy Meter.
 
-| Paper Title | Code Implementation |
+| Paper Title | Implementation |
 | --- | --- |
-| [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) |
-| [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) |
+| 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) |