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Robustness of classifiers to uniform $\ell\_p$ and Gaussian noise

Robustness of classifiers to uniform ℓ_p\ell\_pℓ_p and Gaussian noise

22 February 2018
Jean-Yves Franceschi
Alhussein Fawzi
Omar Fawzi
ArXiv (abs)PDFHTML

Papers citing "Robustness of classifiers to uniform $\ell\_p$ and Gaussian noise"

11 / 11 papers shown
Title
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Brendon G. Anderson
Ziye Ma
Jingqi Li
Somayeh Sojoudi
491
1
0
22 Jan 2021
Certifying Neural Network Robustness to Random Input Noise from Samples
Brendon G. Anderson
Somayeh Sojoudi
AAML
146
9
0
15 Oct 2020
Data-Driven Certification of Neural Networks with Random Input Noise
Data-Driven Certification of Neural Networks with Random Input NoiseIEEE Transactions on Control of Network Systems (TCNS), 2020
Brendon G. Anderson
Somayeh Sojoudi
AAML
347
12
0
02 Oct 2020
Analyzing Accuracy Loss in Randomized Smoothing Defenses
Analyzing Accuracy Loss in Randomized Smoothing Defenses
Yue Gao
Harrison Rosenberg
Kassem Fawaz
S. Jha
Justin Hsu
AAML
156
6
0
03 Mar 2020
Are Adversarial Robustness and Common Perturbation Robustness
  Independent Attributes ?
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ?
Alfred Laugros
A. Caplier
Matthieu Ospici
AAML
152
44
0
04 Sep 2019
Identifying Classes Susceptible to Adversarial Attacks
Identifying Classes Susceptible to Adversarial Attacks
Rangeet Pan
Md Johirul Islam
Shibbir Ahmed
Hridesh Rajan
AAML
168
7
0
30 May 2019
Analytical Moment Regularizer for Gaussian Robust Networks
Analytical Moment Regularizer for Gaussian Robust Networks
Modar Alfadly
Adel Bibi
Guohao Li
AAML
73
4
0
24 Apr 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
843
2,272
0
08 Feb 2019
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic
  Approach
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
Tsui-Wei Weng
Pin-Yu Chen
Lam M. Nguyen
M. Squillante
Ivan Oseledets
Luca Daniel
AAML
198
30
0
18 Dec 2018
Revisiting Adversarial Risk
Revisiting Adversarial Risk
A. Suggala
Adarsh Prasad
Vaishnavh Nagarajan
Pradeep Ravikumar
AAML
198
20
0
07 Jun 2018
Adversarial Spheres
Adversarial Spheres
Justin Gilmer
Luke Metz
Fartash Faghri
S. Schoenholz
M. Raghu
Martin Wattenberg
Ian Goodfellow
AAML
179
6
0
09 Jan 2018
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