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2020 – today
- 2024
[c6]Vladyslav Oles
, Anna Schmedding, George Ostrouchov, Woong Shin, Evgenia Smirni, Christian Engelmann:
Understanding GPU Memory Corruption at Extreme Scale: The Summit Case Study. ICS 2024: 188-200- [c5]Anna Schmedding, Lishan Yang, Adwait Jog, Evgenia Smirni:
Aspis: Lightweight Neural Network Protection Against Soft Errors. ISSRE 2024: 248-259 - [c4]Anna Schmedding, Philip Schowitz, Xugui Zhou, Yiyang Lu, Lishan Yang, Homa Alemzadeh, Evgenia Smirni:
Strategic Resilience Evaluation of Neural Networks Within Autonomous Vehicle Software. SAFECOMP 2024: 33-48 - 2023
- [j1]Anna Schmedding, Riccardo Pinciroli, Lishan Yang, Evgenia Smirni:
Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data. IEEE Trans. Big Data 9(5): 1260-1275 (2023) - 2022
- [c3]Xugui Zhou, Anna Schmedding, Haotian Ren, Lishan Yang, Philip Schowitz, Evgenia Smirni, Homa Alemzadeh:
Strategic Safety-Critical Attacks Against an Advanced Driver Assistance System. DSN 2022: 79-87 - [c2]Anna Schmedding, Lishan Yang, Riccardo Pinciroli, Evgenia Smirni:
GeoSpread: an Epidemic Spread Modeling Tool for COVID-19 Using Mobility Data. GoodIT 2022: 125-131 - [i2]Xugui Zhou, Anna Schmedding, Haotian Ren, Lishan Yang, Philip Schowitz, Evgenia Smirni, Homa Alemzadeh:
Strategic Safety-Critical Attacks Against an Advanced Driver Assistance System. CoRR abs/2204.06768 (2022) - 2020
- [c1]Lishan Yang, Anna Schmedding, Riccardo Pinciroli, Evgenia Smirni:
Simulating COVID-19 containment measures using the South Korean patient data: poster abstract. SenSys 2020: 782-783 - [i1]Anna Schmedding, Lishan Yang, Riccardo Pinciroli, Evgenia Smirni:
Characterizing the COVID-19 Transmission in South Korea Using the KCDC Patient Data. CoRR abs/2012.13296 (2020)
Coauthor Index
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