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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
    UQCVAAML
ArXiv (abs)PDFHTMLGithub (3★)

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

11 / 11 papers shown
Title
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
Meiyu Zhong
Ravi Tandon
134
3
0
03 Jul 2024
Consistency Purification: Effective and Efficient Diffusion Purification
  towards Certified Robustness
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
Yiquan Li
Zhongzhu Chen
Kun Jin
Jiongxiao Wang
Bo Li
Chaowei Xiao
DiffM
91
2
0
30 Jun 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized
  Smoothing
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing
Chengyan Fu
Wenjie Wang
AAML
94
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
88
4
0
19 Dec 2023
Exploring Transferability for Randomized Smoothing
Exploring Transferability for Randomized Smoothing
Kai Qiu
Huishuai Zhang
Zhirong Wu
Stephen Lin
AAML
50
1
0
14 Dec 2023
Multi-scale Diffusion Denoised Smoothing
Multi-scale Diffusion Denoised Smoothing
Jongheon Jeong
Jinwoo Shin
DiffM
91
9
0
25 Oct 2023
Hierarchical Randomized Smoothing
Hierarchical Randomized Smoothing
Yan Scholten
Jan Schuchardt
Aleksandar Bojchevski
Stephan Günnemann
AAML
133
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
119
11
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
85
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
119
156
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
86
4
0
27 May 2022
1