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Cited By
Detecting silent data corruptions in the wild
16 March 2022
H. Dixit
Laura Boyle
Gautham Vunnam
S. Pendharkar
Matt Beadon
Sriram Sankar
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Papers citing
"Detecting silent data corruptions in the wild"
6 / 6 papers shown
A Spatio-Temporal Graph Neural Networks Approach for Predicting Silent Data Corruption inducing Circuit-Level Faults
Shaoqi Wei
Senling Wang
Hiroshi Kai
Yoshinobu Higami
Ruijun Ma
Tianming Ni
Xiaoqing Wen
Hiroshi Takahashi
85
0
0
08 Sep 2025
Ralts: Robust Aggregation for Enhancing Graph Neural Network Resilience on Bit-flip Errors
Wencheng Zou
Nan Wu
AAML
227
0
0
24 Jul 2025
PVF (Parameter Vulnerability Factor): A Scalable Metric for Understanding AI Vulnerability Against SDCs in Model Parameters
Xun Jiao
Fred Lin
H. Dixit
Joel Coburn
Abhinav Pandey
...
Venkat Ramesh
Jianyu Huang
Wang Xu
Daniel Moore
Sriram Sankar
278
3
0
02 May 2024
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors
Dongning Ma
Xun Jiao
Fred Lin
Mengshi Zhang
Alban Desmaison
Thomas Sellinger
Daniel Moore
Sriram Sankar
178
2
0
17 Jul 2023
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors
Ruixuan Wang
Fred Lin
Daniel Moore
Sriram Sankar
Xun Jiao
160
3
0
07 Dec 2022
uBFT: Microsecond-scale BFT using Disaggregated Memory [Extended Version]
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022
Marcos K. Aguilera
N. Ben-David
R. Guerraoui
Antoine Murat
A. Xygkis
I. Zablotchi
295
28
0
31 Oct 2022
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![uBFT: Microsecond-scale BFT using Disaggregated Memory [Extended
Version]](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8yMjEwLjE3MTc0L3BhZ2VzL3BhZ2UtMS1xODBkMzAwLmpwZw?w=256&q=75&f=webp)
