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On the Security Risks of AutoML

On the Security Risks of AutoML

12 October 2021
Ren Pang
Zhaohan Xi
S. Ji
Xiapu Luo
Ting Wang
    AAML
ArXivPDFHTML

Papers citing "On the Security Risks of AutoML"

5 / 5 papers shown
Title
FlatNAS: optimizing Flatness in Neural Architecture Search for
  Out-of-Distribution Robustness
FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness
Matteo Gambella
Fabrizio Pittorino
Manuel Roveri
OOD
40
3
0
29 Feb 2024
AutoML in The Wild: Obstacles, Workarounds, and Expectations
AutoML in The Wild: Obstacles, Workarounds, and Expectations
Yuan Sun
Qiurong Song
Xinning Gui
Fenglong Ma
Ting Wang
18
13
0
21 Feb 2023
On the Privacy Risks of Cell-Based NAS Architectures
On the Privacy Risks of Cell-Based NAS Architectures
Haiping Huang
Zhikun Zhang
Yun Shen
Michael Backes
Qi Li
Yang Zhang
27
7
0
04 Sep 2022
Model-Reuse Attacks on Deep Learning Systems
Model-Reuse Attacks on Deep Learning Systems
Yujie Ji
Xinyang Zhang
S. Ji
Xiapu Luo
Ting Wang
SILM
AAML
134
186
0
02 Dec 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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