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2107.00228
Cited By
Scalable Certified Segmentation via Randomized Smoothing
1 July 2021
Marc Fischer
Maximilian Baader
Martin Vechev
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Papers citing
"Scalable Certified Segmentation via Randomized Smoothing"
12 / 12 papers shown
Title
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
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
Jongheon Jeong
Seojin Kim
Jinwoo Shin
AAML
23
7
0
18 Dec 2022
Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt
Stephan Günnemann
AAML
30
5
0
25 Nov 2022
Private and Reliable Neural Network Inference
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
27
14
0
27 Oct 2022
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
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
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip Torr
AAML
41
14
0
22 Nov 2021
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
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
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
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
309
3,115
0
04 Nov 2016
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