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Certifying Ensembles: A General Certification Theory with
  S-Lipschitzness

Certifying Ensembles: A General Certification Theory with S-Lipschitzness

25 April 2023
Aleksandar Petrov
Francisco Eiras
Amartya Sanyal
Philip H. S. Torr
Adel Bibi
    UQCV
ArXivPDFHTML

Papers citing "Certifying Ensembles: A General Certification Theory with S-Lipschitzness"

5 / 5 papers shown
Title
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Pau de Jorge
Adel Bibi
Riccardo Volpi
Amartya Sanyal
Philip H. S. Torr
Grégory Rogez
P. Dokania
AAML
46
45
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
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
178
929
0
21 Oct 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,170
0
01 Sep 2014
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