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Scalable Certified Segmentation via Randomized Smoothing

Scalable Certified Segmentation via Randomized Smoothing

1 July 2021
Marc Fischer
Maximilian Baader
Martin Vechev
ArXivPDFHTML

Papers citing "Scalable Certified Segmentation via Randomized Smoothing"

12 / 12 papers shown
Title
Certifying LLM Safety against Adversarial Prompting
Certifying LLM Safety against Adversarial Prompting
Aounon Kumar
Chirag Agarwal
Suraj Srinivas
Aaron Jiaxun Li
S. Feizi
Himabindu Lakkaraju
AAML
27
169
0
06 Sep 2023
Incremental Randomized Smoothing Certification
Incremental Randomized Smoothing Certification
Shubham Ugare
Tarun Suresh
Debangshu Banerjee
Gagandeep Singh
Sasa Misailovic
AAML
40
8
0
31 May 2023
Confidence-aware Training of Smoothed Classifiers for Certified
  Robustness
Confidence-aware Training of Smoothed Classifiers for Certified Robustness
Jongheon Jeong
Seojin Kim
Jinwoo Shin
AAML
21
7
0
18 Dec 2022
Invariance-Aware Randomized Smoothing Certificates
Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt
Stephan Günnemann
AAML
30
5
0
25 Nov 2022
Private and Reliable Neural Network Inference
Private and Reliable Neural Network Inference
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
24
14
0
27 Oct 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical
  Analysis
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis
Raphael Ettedgui
Alexandre Araujo
Rafael Pinot
Y. Chevaleyre
Jamal Atif
AAML
34
3
0
03 Jun 2022
(De-)Randomized Smoothing for Decision Stump Ensembles
(De-)Randomized Smoothing for Decision Stump Ensembles
Miklós Z. Horváth
Mark Niklas Muller
Marc Fischer
Martin Vechev
30
3
0
27 May 2022
Adversarial Examples on Segmentation Models Can be Easy to Transfer
Adversarial Examples on Segmentation Models Can be Easy to Transfer
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip Torr
AAML
41
14
0
22 Nov 2021
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo Li
AAML
38
128
0
09 Sep 2020
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
251
1,842
0
03 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,136
0
02 Dec 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
303
3,115
0
04 Nov 2016
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