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RAMP: Boosting Adversarial Robustness Against Multiple $l_p$
  Perturbations

RAMP: Boosting Adversarial Robustness Against Multiple lpl_plp​ Perturbations

9 February 2024
Enyi Jiang
Gagandeep Singh
    AAML
ArXivPDFHTML

Papers citing "RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations"

10 / 10 papers shown
Title
Towards Universal Certified Robustness with Multi-Norm Training
Towards Universal Certified Robustness with Multi-Norm Training
Enyi Jiang
Gagandeep Singh
Gagandeep Singh
AAML
83
1
0
03 Oct 2024
Robust Principles: Architectural Design Principles for Adversarially
  Robust CNNs
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
Sheng-Hsuan Peng
Weilin Xu
Cory Cornelius
Matthew Hull
Kevin Wenliang Li
Rahul Duggal
Mansi Phute
Jason Martin
Duen Horng Chau
AAML
34
48
0
30 Aug 2023
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
257
689
0
19 Oct 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box
  adversarial attacks
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Francesco Croce
Maksym Andriushchenko
Naman D. Singh
Nicolas Flammarion
Matthias Hein
52
99
0
23 Jun 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw
Sahil Singla
Soheil Feizi
AAML
OOD
42
185
0
22 Jun 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
174
1,821
0
03 Mar 2020
Adversarial Examples Improve Image Recognition
Adversarial Examples Improve Image Recognition
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
AAML
55
564
0
21 Nov 2019
Unlabeled Data Improves Adversarial Robustness
Unlabeled Data Improves Adversarial Robustness
Y. Carmon
Aditi Raghunathan
Ludwig Schmidt
Percy Liang
John C. Duchi
80
752
0
31 May 2019
Evaluating and Understanding the Robustness of Adversarial Logit Pairing
Evaluating and Understanding the Robustness of Adversarial Logit Pairing
Logan Engstrom
Andrew Ilyas
Anish Athalye
AAML
37
141
0
26 Jul 2018
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
775
39,383
0
01 Sep 2014
1