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MACER: Attack-free and Scalable Robust Training via Maximizing Certified
  Radius
v1v2v3v4 (latest)

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

8 January 2020
Runtian Zhai
Chen Dan
Di He
Huan Zhang
Boqing Gong
Pradeep Ravikumar
Cho-Jui Hsieh
Liwei Wang
    OODAAML
ArXiv (abs)PDFHTML

Papers citing "MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius"

16 / 116 papers shown
Title
How Robust are Randomized Smoothing based Defenses to Data Poisoning?
How Robust are Randomized Smoothing based Defenses to Data Poisoning?
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
OODAAML
113
32
0
02 Dec 2020
Deterministic Certification to Adversarial Attacks via Bernstein
  Polynomial Approximation
Deterministic Certification to Adversarial Attacks via Bernstein Polynomial Approximation
Ching-Chia Kao
Jhe-Bang Ko
Chun-Shien Lu
AAML
52
1
0
28 Nov 2020
Almost Tight L0-norm Certified Robustness of Top-k Predictions against
  Adversarial Perturbations
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
Jinyuan Jia
Binghui Wang
Xiaoyu Cao
Hongbin Liu
Neil Zhenqiang Gong
61
24
0
15 Nov 2020
Tailoring: encoding inductive biases by optimizing unsupervised
  objectives at prediction time
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
Ferran Alet
Maria Bauza
Kenji Kawaguchi
Nurullah Giray Kuru
Tomas Lozano-Perez
L. Kaelbling
AI4CE
111
16
0
22 Sep 2020
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Yue Liu
AAML
123
131
0
09 Sep 2020
Membership Leakage in Label-Only Exposures
Membership Leakage in Label-Only Exposures
Zheng Li
Yang Zhang
101
246
0
30 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A
  Survey
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
S. Silva
Peyman Najafirad
AAMLOOD
93
135
0
01 Jul 2020
Adversarial Feature Desensitization
Adversarial Feature Desensitization
P. Bashivan
Reza Bayat
Adam Ibrahim
Kartik Ahuja
Mojtaba Faramarzi
Touraj Laleh
Blake A. Richards
Irina Rish
AAML
35
21
0
08 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed
  Classifiers
Consistency Regularization for Certified Robustness of Smoothed Classifiers
Jongheon Jeong
Jinwoo Shin
AAML
84
88
0
07 Jun 2020
Enhancing Certified Robustness via Smoothed Weighted Ensembling
Enhancing Certified Robustness via Smoothed Weighted Ensembling
Chizhou Liu
Yunzhen Feng
Ranran Wang
Bin Dong
AAML
77
12
0
19 May 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Hadi Salman
Mingjie Sun
Greg Yang
Ashish Kapoor
J. Zico Kolter
94
23
0
04 Mar 2020
Certified Defense to Image Transformations via Randomized Smoothing
Certified Defense to Image Transformations via Randomized Smoothing
Marc Fischer
Maximilian Baader
Martin Vechev
AAML
84
67
0
27 Feb 2020
TSS: Transformation-Specific Smoothing for Robustness Certification
TSS: Transformation-Specific Smoothing for Robustness Certification
Linyi Li
Maurice Weber
Xiaojun Xu
Luka Rimanic
B. Kailkhura
Tao Xie
Ce Zhang
Yue Liu
AAML
132
57
0
27 Feb 2020
Randomized Smoothing of All Shapes and Sizes
Randomized Smoothing of All Shapes and Sizes
Greg Yang
Tony Duan
J. E. Hu
Hadi Salman
Ilya P. Razenshteyn
Jungshian Li
AAML
91
216
0
19 Feb 2020
Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for
  High-Dimensional Images
Random Smoothing Might be Unable to Certify ℓ∞\ell_\inftyℓ∞​ Robustness for High-Dimensional Images
Avrim Blum
Travis Dick
N. Manoj
Hongyang R. Zhang
AAML
74
79
0
10 Feb 2020
MMA Training: Direct Input Space Margin Maximization through Adversarial
  Training
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
G. Ding
Yash Sharma
Kry Yik-Chau Lui
Ruitong Huang
AAML
103
273
0
06 Dec 2018
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