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1901.08573
Cited By
Theoretically Principled Trade-off between Robustness and Accuracy
24 January 2019
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Michael I. Jordan
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Papers citing
"Theoretically Principled Trade-off between Robustness and Accuracy"
20 / 570 papers shown
Title
Do Image Classifiers Generalize Across Time?
Vaishaal Shankar
Achal Dave
Rebecca Roelofs
Deva Ramanan
Benjamin Recht
Ludwig Schmidt
20
82
0
05 Jun 2019
Functional Adversarial Attacks
Cassidy Laidlaw
S. Feizi
AAML
19
183
0
29 May 2019
Controlling Neural Level Sets
Matan Atzmon
Niv Haim
Lior Yariv
Ofer Israelov
Haggai Maron
Y. Lipman
AI4CE
22
118
0
28 May 2019
Enhancing Adversarial Defense by k-Winners-Take-All
Chang Xiao
Peilin Zhong
Changxi Zheng
AAML
24
97
0
25 May 2019
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
Liwei Song
Reza Shokri
Prateek Mittal
SILM
MIACV
AAML
6
235
0
24 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang
Zhanxing Zhu
AAML
GAN
FAtt
28
158
0
23 May 2019
Adversarial Training for Free!
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
AAML
68
1,227
0
29 Apr 2019
Attribution-driven Causal Analysis for Detection of Adversarial Examples
Susmit Jha
Sunny Raj
S. Fernandes
Sumit Kumar Jha
S. Jha
Gunjan Verma
B. Jalaeian
A. Swami
AAML
12
17
0
14 Mar 2019
Robust Decision Trees Against Adversarial Examples
Hongge Chen
Huan Zhang
Duane S. Boning
Cho-Jui Hsieh
AAML
20
116
0
27 Feb 2019
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu
Parth Kothari
Alexandre Alahi
TTA
28
16
0
02 Feb 2019
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
G. Ding
Yash Sharma
Kry Yik-Chau Lui
Ruitong Huang
AAML
21
270
0
06 Dec 2018
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples
Huangyi Ge
Sze Yiu Chau
Bruno Ribeiro
Ninghui Li
AAML
27
1
0
05 Dec 2018
Learning to Defend by Learning to Attack
Haoming Jiang
Zhehui Chen
Yuyang Shi
Bo Dai
T. Zhao
18
22
0
03 Nov 2018
Certified Adversarial Robustness with Additive Noise
Bai Li
Changyou Chen
Wenlin Wang
Lawrence Carin
AAML
28
341
0
10 Sep 2018
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
65
230
0
25 May 2018
Robust GANs against Dishonest Adversaries
Zhi Xu
Chengtao Li
Stefanie Jegelka
AAML
34
3
0
27 Feb 2018
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
Min Xian
Yingtao Zhang
H. Cheng
Fei Xu
Kuan Huang
Boyu Zhang
Jianrui Ding
C. Ning
Ying Wang
28
61
0
09 Jan 2018
The Robust Manifold Defense: Adversarial Training using Generative Models
A. Jalal
Andrew Ilyas
C. Daskalakis
A. Dimakis
AAML
31
174
0
26 Dec 2017
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
Multiclass Classification Calibration Functions
Bernardo Avila-Pires
Csaba Szepesvári
75
27
0
20 Sep 2016
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