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Higher-Order Certification for Randomized Smoothing

Higher-Order Certification for Randomized Smoothing

13 October 2020
Jeet Mohapatra
Ching-Yun Ko
Tsui-Wei Weng
Pin-Yu Chen
Sijia Liu
Luca Daniel
    AAML
ArXivPDFHTML

Papers citing "Higher-Order Certification for Randomized Smoothing"

12 / 12 papers shown
Title
Bridging the Theoretical Gap in Randomized Smoothing
Bridging the Theoretical Gap in Randomized Smoothing
Blaise Delattre
Paul Caillon
Quentin Barthélemy
Erwan Fagnou
Alexandre Allauzen
AAML
58
0
0
03 Apr 2025
Incremental Randomized Smoothing Certification
Incremental Randomized Smoothing Certification
Shubham Ugare
Tarun Suresh
Debangshu Banerjee
Gagandeep Singh
Sasa Misailovic
AAML
38
8
0
31 May 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for
  Graph Neural Networks
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
Yan Scholten
Jan Schuchardt
Simon Geisler
Aleksandar Bojchevski
Stephan Günnemann
AAML
26
15
0
05 Jan 2023
Explainability and Robustness of Deep Visual Classification Models
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
41
2
0
03 Jan 2023
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
Smoothed Embeddings for Certified Few-Shot Learning
Smoothed Embeddings for Certified Few-Shot Learning
Mikhail Aleksandrovich Pautov
Olesya Kuznetsova
Nurislam Tursynbek
Aleksandr Petiushko
Ivan Oseledets
39
5
0
02 Feb 2022
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions:
  Benchmarking Robustness and Simple Baselines
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines
Jiachen Sun
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Dan Hendrycks
Jihun Hamm
Z. Morley Mao
AAML
33
21
0
01 Dec 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of
  Neural Networks
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
Mikhail Aleksandrovich Pautov
Nurislam Tursynbek
Marina Munkhoeva
Nikita Muravev
Aleksandr Petiushko
Ivan Oseledets
AAML
52
16
0
22 Sep 2021
On the Certified Robustness for Ensemble Models and Beyond
On the Certified Robustness for Ensemble Models and Beyond
Zhuolin Yang
Linyi Li
Xiaojun Xu
B. Kailkhura
Tao Xie
Bo-wen Li
AAML
29
48
0
22 Jul 2021
Scalable Certified Segmentation via Randomized Smoothing
Scalable Certified Segmentation via Randomized Smoothing
Marc Fischer
Maximilian Baader
Martin Vechev
18
38
0
01 Jul 2021
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
29
48
0
19 Oct 2020
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
33
128
0
09 Sep 2020
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