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2001.02378
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MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
International Conference on Learning Representations (ICLR), 2020
8 January 2020
Runtian Zhai
Chen Dan
Di He
Huan Zhang
Boqing Gong
Pradeep Ravikumar
Cho-Jui Hsieh
Liwei Wang
OOD
AAML
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Papers citing
"MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius"
20 / 120 papers shown
Title
With False Friends Like These, Who Can Notice Mistakes?
AAAI Conference on Artificial Intelligence (AAAI), 2020
Lue Tao
Lei Feng
Jinfeng Yi
Songcan Chen
AAML
193
6
0
29 Dec 2020
Self-Progressing Robust Training
AAAI Conference on Artificial Intelligence (AAAI), 2020
Minhao Cheng
Pin-Yu Chen
Sijia Liu
Shiyu Chang
Cho-Jui Hsieh
Payel Das
AAML
VLM
104
9
0
22 Dec 2020
Data-Dependent Randomized Smoothing
Motasem Alfarra
Adel Bibi
Juil Sock
Guohao Li
UQCV
244
39
0
08 Dec 2020
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection
Byunggill Joe
Jihun Hamm
Sung Ju Hwang
Sooel Son
I. Shin
AAML
OOD
113
0
0
07 Dec 2020
How Robust are Randomized Smoothing based Defenses to Data Poisoning?
Computer Vision and Pattern Recognition (CVPR), 2020
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
OOD
AAML
210
33
0
02 Dec 2020
Deterministic Certification to Adversarial Attacks via Bernstein Polynomial Approximation
Ching-Chia Kao
Jhe-Bang Ko
Chun-Shien Lu
AAML
126
1
0
28 Nov 2020
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
International Conference on Learning Representations (ICLR), 2020
Jinyuan Jia
Binghui Wang
Xiaoyu Cao
Hongbin Liu
Neil Zhenqiang Gong
153
25
0
15 Nov 2020
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
Neural Information Processing Systems (NeurIPS), 2020
Ferran Alet
Maria Bauza
Kenji Kawaguchi
Nurullah Giray Kuru
Tomas Lozano-Perez
L. Kaelbling
AI4CE
167
16
0
22 Sep 2020
SoK: Certified Robustness for Deep Neural Networks
IEEE Symposium on Security and Privacy (IEEE S&P), 2020
Linyi Li
Tao Xie
Yue Liu
AAML
492
140
0
09 Sep 2020
Membership Leakage in Label-Only Exposures
Conference on Computer and Communications Security (CCS), 2020
Zheng Li
Yang Zhang
168
279
0
30 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
S. Silva
Peyman Najafirad
AAML
OOD
183
145
0
01 Jul 2020
Adversarial Feature Desensitization
P. Bashivan
Reza Bayat
Adam Ibrahim
Kartik Ahuja
Mojtaba Faramarzi
Touraj Laleh
Blake A. Richards
Irina Rish
AAML
148
22
0
08 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed Classifiers
Jongheon Jeong
Jinwoo Shin
AAML
194
94
0
07 Jun 2020
Enhancing Certified Robustness via Smoothed Weighted Ensembling
Chizhou Liu
Yunzhen Feng
Ranran Wang
Bin Dong
AAML
141
12
0
19 May 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Hadi Salman
Mingjie Sun
Greg Yang
Ashish Kapoor
J. Zico Kolter
158
23
0
04 Mar 2020
Certified Defense to Image Transformations via Randomized Smoothing
Neural Information Processing Systems (NeurIPS), 2020
Marc Fischer
Maximilian Baader
Martin Vechev
AAML
359
71
0
27 Feb 2020
TSS: Transformation-Specific Smoothing for Robustness Certification
Conference on Computer and Communications Security (CCS), 2020
Linyi Li
Maurice Weber
Xiaojun Xu
Luka Rimanic
B. Kailkhura
Tao Xie
Ce Zhang
Yue Liu
AAML
312
61
0
27 Feb 2020
Randomized Smoothing of All Shapes and Sizes
International Conference on Machine Learning (ICML), 2020
Greg Yang
Tony Duan
J. E. Hu
Hadi Salman
Ilya P. Razenshteyn
Jungshian Li
AAML
271
225
0
19 Feb 2020
Random Smoothing Might be Unable to Certify
ℓ
∞
\ell_\infty
ℓ
∞
Robustness for High-Dimensional Images
Journal of machine learning research (JMLR), 2020
Avrim Blum
Travis Dick
N. Manoj
Hongyang R. Zhang
AAML
164
81
0
10 Feb 2020
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
G. Ding
Yash Sharma
Kry Yik-Chau Lui
Ruitong Huang
AAML
188
292
0
06 Dec 2018
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