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A Multiclass Boosting Framework for Achieving Fast and Provable
  Adversarial Robustness

A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness

1 March 2021
Jacob D. Abernethy
Pranjal Awasthi
Satyen Kale
    AAML
ArXivPDFHTML

Papers citing "A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness"

6 / 6 papers shown
Title
The Cost of Parallelizing Boosting
The Cost of Parallelizing Boosting
Xin Lyu
Hongxun Wu
Junzhao Yang
18
2
0
23 Feb 2024
On the Robustness of Randomized Ensembles to Adversarial Perturbations
On the Robustness of Randomized Ensembles to Adversarial Perturbations
Hassan Dbouk
Naresh R Shanbhag
AAML
23
7
0
02 Feb 2023
The Impossibility of Parallelizing Boosting
The Impossibility of Parallelizing Boosting
Amin Karbasi
Kasper Green Larsen
21
3
0
23 Jan 2023
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
40
15
0
07 Jun 2022
Online Agnostic Multiclass Boosting
Online Agnostic Multiclass Boosting
Vinod Raman
Ambuj Tewari
24
3
0
30 May 2022
Boosting Barely Robust Learners: A New Perspective on Adversarial
  Robustness
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness
Avrim Blum
Omar Montasser
G. Shakhnarovich
Hongyang R. Zhang
25
2
0
11 Feb 2022
1