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Diffusion Denoised Smoothing for Certified and Adversarial Robust
  Out-Of-Distribution Detection

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection

27 March 2023
Nicola Franco
Daniel Korth
J. Lorenz
Karsten Roscher
Stephan Guennemann
ArXivPDFHTML

Papers citing "Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection"

6 / 6 papers shown
Title
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
Blaise Delattre
Alexandre Araujo
Quentin Barthélemy
A. Allauzen
AAML
14
5
0
28 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Dream the Impossible: Outlier Imagination with Diffusion Models
Xuefeng Du
Yiyou Sun
Xiaojin Zhu
Yixuan Li
13
52
0
23 Sep 2023
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
163
266
0
19 May 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
174
303
0
02 Feb 2022
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,832
0
03 Feb 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,237
0
25 Aug 2016
1