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Robust and Accurate -- Compositional Architectures for Randomized
  Smoothing

Robust and Accurate -- Compositional Architectures for Randomized Smoothing

1 April 2022
Miklós Z. Horváth
Mark Niklas Muller
Marc Fischer
Martin Vechev
    UQCV
    AAML
ArXivPDFHTML

Papers citing "Robust and Accurate -- Compositional Architectures for Randomized Smoothing"

13 / 13 papers shown
Title
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
Meiyu Zhong
Ravi Tandon
44
3
0
03 Jul 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized
  Smoothing
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing
Chengyan Fu
Wenjie Wang
AAML
35
0
0
08 Apr 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques
Trust, But Verify: A Survey of Randomized Smoothing Techniques
Anupriya Kumari
Devansh Bhardwaj
Sukrit Jindal
Sarthak Gupta
AAML
49
3
0
19 Dec 2023
Exploring Transferability for Randomized Smoothing
Exploring Transferability for Randomized Smoothing
Kai Qiu
Huishuai Zhang
Zhirong Wu
Stephen Lin
AAML
26
1
0
14 Dec 2023
Multi-scale Diffusion Denoised Smoothing
Multi-scale Diffusion Denoised Smoothing
Jongheon Jeong
Jinwoo Shin
DiffM
29
7
0
25 Oct 2023
Hierarchical Randomized Smoothing
Hierarchical Randomized Smoothing
Yan Scholten
Jan Schuchardt
Aleksandar Bojchevski
Stephan Günnemann
AAML
49
5
0
24 Oct 2023
TAPS: Connecting Certified and Adversarial Training
TAPS: Connecting Certified and Adversarial Training
Yuhao Mao
Mark Niklas Muller
Marc Fischer
Martin Vechev
AAML
36
10
0
08 May 2023
Improving Adversarial Robustness via Joint Classification and Multiple
  Explicit Detection Classes
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes
Sina Baharlouei
Fatemeh Sheikholeslami
Meisam Razaviyayn
Zico Kolter
AAML
19
6
0
26 Oct 2022
(Certified!!) Adversarial Robustness for Free!
(Certified!!) Adversarial Robustness for Free!
Nicholas Carlini
Florian Tramèr
Krishnamurthy Dvijotham
Leslie Rice
Mingjie Sun
J. Zico Kolter
DiffM
49
146
0
21 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
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
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
312
3,115
0
04 Nov 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
313
39,252
0
01 Sep 2014
1