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Nathalie Rauschmayr
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2020 – today
- 2024
- [c7]Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari:
Extracting Training Data From Document-Based VQA Models. ICML 2024 - [i2]Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari:
Extracting Training Data from Document-Based VQA Models. CoRR abs/2407.08707 (2024) - 2022
- [c6]Yigitcan Kaya, Muhammad Bilal Zafar, Sergül Aydöre, Nathalie Rauschmayr, Krishnaram Kenthapadi:
Generating Distributional Adversarial Examples to Evade Statistical Detectors. ICML 2022: 10895-10911 - [c5]Nathalie Rauschmayr, Sami Kama, Muhyun Kim, Miyoung Choi, Krishnaram Kenthapadi:
Profiling Deep Learning Workloads at Scale using Amazon SageMaker. KDD 2022: 3801-3809 - 2021
- [c4]Nathalie Rauschmayr, Vikas Kumar, Rahul Huilgol, Andrea Olgiati, Satadal Bhattacharjee, Nihal Harish, Vandana Kannan, Amol Lele, Anirudh Acharya, Jared Nielsen, Lakshmi Ramakrishnan, Ishan Bhatt, Kohen Chia, Neelesh Dodda, Zhihan Li, Jiacheng Gu, Miyoung Choi, Balajee Nagarajan, Jeffrey Geevarghese, Denis Davydenko, Sifei Li, Lu Huang, Edward Kim, Tyler Hill, Krishnaram Kenthapadi:
Amazon SageMaker Debugger: A System for Real-Time Insights into Machine Learning Model Training. MLSys 2021 - [i1]Dylan Slack, Nathalie Rauschmayr, Krishnaram Kenthapadi:
Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy. CoRR abs/2102.06162 (2021)
2010 – 2019
- 2014
- [b1]Nathalie Rauschmayr:
Optimisation of LHCb Applications for Multi- and Manycore Job Submission. Karlsruhe Institute of Technology, 2014 - 2013
- [c3]Nathalie Rauschmayr, Achim Streit:
Evaluation of x32-ABI in the Context of LHC Applications. ICCS 2013: 2233-2240 - [c2]Nathalie Rauschmayr, Achim Streit:
Evaluating Moldability of LHCb Jobs for Multicore Job Submission. SYNASC 2013: 519-525 - 2012
- [c1]Nathalie Rauschmayr, Achim Streit
:
Reducing the Memory Footprint of Parallel Applications with KSM. Facing the Multicore-Challenge 2012: 48-59
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