On the Challenges of Detecting Side-Channel Attacks in SGX-Reference-Cited by-同舟云学术

On the Challenges of Detecting Side-Channel Attacks in SGX

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:25th International Symposium on Research in Attacks, Intrusions and Defenses
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Author:

Jiang Jianyu¹,Soriente Claudio²,Karame Ghassan³

Affiliation:

1. The University of Hong Kong, China

2. NEC Laboratories Europe, Spain

3. Ruhr University Bochum, Germany

Funder

Horizon 2020 Framework Programme

Deutsche Forschungsgemeinschaft

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3545948.3545972

Reference33 articles.

1. 2019. 97% on MNIST with a single decision tree (+ t-SNE). https://www.kaggle.com/carlolepelaars/97-on-mnist-with-a-single-decision-tree-t-sne. 2019. 97% on MNIST with a single decision tree (+ t-SNE). https://www.kaggle.com/carlolepelaars/97-on-mnist-with-a-single-decision-tree-t-sne.

2. 2022. MNIST Dataset. http://yann.lecun.com/exdb/mnist/. 2022. MNIST Dataset. http://yann.lecun.com/exdb/mnist/.

3. 2022. OpenCV. https://github.com/opencv/opencv. 2022. OpenCV. https://github.com/opencv/opencv.

4. 2022. Redis Benchmark. https://redis.io/topics/benchmarks. 2022. Redis Benchmark. https://redis.io/topics/benchmarks.

5. Adil Ahmad , Byunggill Joe , Yuan Xiao , Yinqian Zhang , Insik Shin , and Byoungyoung Lee . 2019 . OBFUSCURO: A Commodity Obfuscation Engine on Intel SGX.. In NDSS. Adil Ahmad, Byunggill Joe, Yuan Xiao, Yinqian Zhang, Insik Shin, and Byoungyoung Lee. 2019. OBFUSCURO: A Commodity Obfuscation Engine on Intel SGX.. In NDSS.

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