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Black-Box Certification with Randomized Smoothing: A Functional
  Optimization Based Framework

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework

21 February 2020
Dinghuai Zhang
Mao Ye
Chengyue Gong
Zhanxing Zhu
Qiang Liu
    AAML
ArXivPDFHTML

Papers citing "Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework"

14 / 14 papers shown
Title
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
Yuchen Yang
Shubham Ugare
Yifan Zhao
Gagandeep Singh
Sasa Misailovic
MQ
26
0
0
31 Oct 2024
Certifiably Robust Encoding Schemes
Certifiably Robust Encoding Schemes
Aman Saxena
Tom Wollschlager
Nicola Franco
J. M. Lorenz
Stephan Günnemann
OOD
AAML
40
1
0
02 Aug 2024
Discrete Randomized Smoothing Meets Quantum Computing
Discrete Randomized Smoothing Meets Quantum Computing
Md. Nazmus Sakib
Aman Saxena
Nicola Franco
Md Mashrur Arifin
Stephan Günnemann
AAML
29
1
0
01 Aug 2024
Text-CRS: A Generalized Certified Robustness Framework against Textual
  Adversarial Attacks
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
Xinyu Zhang
Hanbin Hong
Yuan Hong
Peng Huang
Binghui Wang
Zhongjie Ba
Kui Ren
SILM
29
18
0
31 Jul 2023
Incremental Randomized Smoothing Certification
Incremental Randomized Smoothing Certification
Shubham Ugare
Tarun Suresh
Debangshu Banerjee
Gagandeep Singh
Sasa Misailovic
AAML
30
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
Towards Robust Dataset Learning
Towards Robust Dataset Learning
Yihan Wu
Xinda Li
Florian Kerschbaum
Heng Huang
Hongyang R. Zhang
DD
OOD
41
10
0
19 Nov 2022
PRoA: A Probabilistic Robustness Assessment against Functional
  Perturbations
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations
Tianle Zhang
Wenjie Ruan
J. Fieldsend
AAML
13
21
0
05 Jul 2022
Building Robust Ensembles via Margin Boosting
Building Robust Ensembles via Margin Boosting
Dinghuai Zhang
Hongyang R. Zhang
Aaron Courville
Yoshua Bengio
Pradeep Ravikumar
A. Suggala
AAML
UQCV
45
15
0
07 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
Defending Black-box Skeleton-based Human Activity Classifiers
Defending Black-box Skeleton-based Human Activity Classifiers
He-Nan Wang
Yunfeng Diao
Zichang Tan
G. Guo
AAML
48
10
0
09 Mar 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 V. Oseledets
34
5
0
02 Feb 2022
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 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
23
48
0
22 Jul 2021
1