From 5ddc00b3dabc8b59347ad2dcaafe22273bdef976 Mon Sep 17 00:00:00 2001 From: Ataberk Olgun Date: Fri, 2 Dec 2022 16:15:22 +0300 Subject: Update README.md --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index 6f1f506..e914eb4 100644 --- a/README.md +++ b/README.md @@ -33,6 +33,14 @@ U-TRR's sources are published as a separate repository and can be found [at this QUAC-TRNG's sources are published both as a separate repository [at this link](https://github.com/CMU-SAFARI/QUAC-TRNG), and under `sources/apps/QUAC-TRNG` directory inside this repository. +We plan to open source the following prior research works that used DRAM Bender as part of future work: + +- Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques, [link to arXiv](https://arxiv.org/abs/2005.13121) +- A Deeper Look into RowHammer's Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses, [link to arXiv](https://arxiv.org/abs/2110.10291) +- Understanding RowHammer Under Reduced Wordline Voltage: An Experimental Study Using Real DRAM Devices, [link to arXiv](https://arxiv.org/abs/2206.09999) +- TRRespass: Exploiting the Many Sides of Target Row Refresh, [link to arXiv](https://arxiv.org/abs/2004.01807), proof of concept already available [on Github](https://github.com/vusec/trrespass) +- EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM, [link to arXiv](https://arxiv.org/abs/1910.05340) + ## Repository File Structure ``` -- cgit v1.2.3