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1901.08573
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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
Re-assign community
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Papers citing
"Theoretically Principled Trade-off between Robustness and Accuracy"
50 / 837 papers shown
Title
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator
Wenzhao Xiang
Hang Su
Chang-rui Liu
Yandong Guo
Shibao Zheng
AAML
83
6
0
13 Sep 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain
Hasan Hammoud
Guohao Li
AAML
89
14
0
12 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Shiyu Tang
Ruihao Gong
Yan Wang
Aishan Liu
Jiakai Wang
...
Xianglong Liu
Basel Alomair
Alan Yuille
Philip Torr
Dacheng Tao
VLM
AAML
96
108
0
11 Sep 2021
Energy Attack: On Transferring Adversarial Examples
Ruoxi Shi
Borui Yang
Yangzhou Jiang
Chenglong Zhao
Bingbing Ni
AAML
28
2
0
09 Sep 2021
Regional Adversarial Training for Better Robust Generalization
Chuanbiao Song
Yanbo Fan
Yichen Yang
Baoyuan Wu
Yiming Li
Zhifeng Li
Kun He
AAML
OOD
131
8
0
02 Sep 2021
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Mohamed Bennai
AAML
68
12
0
01 Sep 2021
Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms
Albert Jiménez Sanfiz
Mohamed Akrout
OOD
AAML
78
8
0
30 Aug 2021
Investigating Vulnerabilities of Deep Neural Policies
Ezgi Korkmaz
AAML
55
34
0
30 Aug 2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
Zongyi Li
Jianhan Xu
Jiehang Zeng
Linyang Li
Xiaoqing Zheng
Qi Zhang
Kai-Wei Chang
Cho-Jui Hsieh
AAML
50
74
0
29 Aug 2021
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
Wenjie Ruan
Xinping Yi
Xiaowei Huang
AAML
OOD
52
17
0
24 Aug 2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
Yao Zhu
Jiacheng Ma
Jiacheng Sun
Zewei Chen
Rongxin Jiang
Zhenguo Li
AAML
75
24
0
20 Aug 2021
Neural Architecture Dilation for Adversarial Robustness
Yanxi Li
Zhaohui Yang
Yunhe Wang
Chang Xu
AAML
64
24
0
16 Aug 2021
Deep Adversarially-Enhanced k-Nearest Neighbors
Ren Wang
Tianqi Chen
Alfred Hero
87
0
0
15 Aug 2021
On Procedural Adversarial Noise Attack And Defense
Jun Yan
Xiaoyang Deng
Huilin Yin
Wancheng Ge
AAML
56
2
0
10 Aug 2021
Neural Network Repair with Reachability Analysis
Xiaodong Yang
Tomochika Yamaguchi
Hoang-Dung Tran
Bardh Hoxha
Taylor T. Johnson
Danil Prokhorov
AAML
62
30
0
09 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures
J. Mok
Byunggook Na
Hyeokjun Choe
Sungroh Yoon
OOD
AAML
85
45
0
03 Aug 2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling
Juan C. Pérez
Motasem Alfarra
Guillaume Jeanneret
Laura Rueda
Ali K. Thabet
Guohao Li
Pablo Arbelaez
71
26
0
29 Jul 2021
Imbalanced Adversarial Training with Reweighting
Wentao Wang
Han Xu
Xiaorui Liu
Yaxin Li
B. Thuraisingham
Jiliang Tang
84
16
0
28 Jul 2021
Towards Robustness Against Natural Language Word Substitutions
Xinshuai Dong
Anh Tuan Luu
Rongrong Ji
Hong Liu
SILM
AAML
169
115
0
28 Jul 2021
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Florian Tramèr
AAML
91
71
0
24 Jul 2021
Built-in Elastic Transformations for Improved Robustness
Sadaf Gulshad
Ivan Sosnovik
A. Smeulders
AAML
52
1
0
20 Jul 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
Duhun Hwang
Eunjung Lee
Wonjong Rhee
AAML
221
16
0
14 Jul 2021
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
192
212
0
12 Jul 2021
Identifying Layers Susceptible to Adversarial Attacks
Shoaib Ahmed Siddiqui
Thomas Breuel
AAML
32
1
0
10 Jul 2021
Towards Robust General Medical Image Segmentation
Laura Alexandra Daza
Juan C. Pérez
Pablo Arbelaez
OOD
78
27
0
09 Jul 2021
Improving Model Robustness with Latent Distribution Locally and Globally
Zhuang Qian
Shufei Zhang
Kaizhu Huang
Qiufeng Wang
Rui Zhang
Xinping Yi
AAML
73
14
0
08 Jul 2021
Predicting Disease Progress with Imprecise Lab Test Results
Mei Wang
Jianwen Su
Zhi-kai Lin
79
0
0
08 Jul 2021
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization
Sungyoon Lee
Hoki Kim
Jaewook Lee
AAML
84
55
0
06 Jul 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Mohamed Bennai
AAML
93
31
0
01 Jul 2021
Local Reweighting for Adversarial Training
Ruize Gao
Feng Liu
Kaiwen Zhou
Gang Niu
Bo Han
James Cheng
AAML
OOD
32
6
0
30 Jun 2021
The Values Encoded in Machine Learning Research
Abeba Birhane
Pratyusha Kalluri
Dallas Card
William Agnew
Ravit Dotan
Michelle Bao
89
295
0
29 Jun 2021
Attack Transferability Characterization for Adversarially Robust Multi-label Classification
Zhuo Yang
Yufei Han
Xiangliang Zhang
AAML
50
4
0
29 Jun 2021
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense
Ren Wang
Tianqi Chen
Philip Yao
Sijia Liu
I. Rajapakse
Alfred Hero
AAML
OOD
59
5
0
27 Jun 2021
On the (Un-)Avoidability of Adversarial Examples
Sadia Chowdhury
Ruth Urner
AAML
57
1
0
24 Jun 2021
Reachability Analysis of Convolutional Neural Networks
Xiaodong Yang
Tomoya Yamaguchi
Hoang-Dung Tran
Bardh Hoxha
Taylor T. Johnson
Danil Prokhorov
FAtt
45
6
0
22 Jun 2021
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks
Fan Liu
Shuyu Zhao
Xuelong Dai
Bin Xiao
VLM
85
8
0
22 Jun 2021
Can contrastive learning avoid shortcut solutions?
Joshua Robinson
Li Sun
Ke Yu
Kayhan Batmanghelich
Stefanie Jegelka
S. Sra
SSL
110
146
0
21 Jun 2021
Residual Error: a New Performance Measure for Adversarial Robustness
Hossein Aboutalebi
M. Shafiee
Michelle Karg
C. Scharfenberger
Alexander Wong
AAML
21
1
0
18 Jun 2021
Adversarial Training Helps Transfer Learning via Better Representations
Zhun Deng
Linjun Zhang
Kailas Vodrahalli
Kenji Kawaguchi
James Zou
GAN
89
54
0
18 Jun 2021
Towards Adversarial Robustness via Transductive Learning
Jiefeng Chen
Yang Guo
Xi Wu
Tianqi Li
Qicheng Lao
Yingyu Liang
S. Jha
AAML
45
5
0
15 Jun 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training
Qizhou Wang
Feng Liu
Bo Han
Tongliang Liu
Chen Gong
Gang Niu
Mingyuan Zhou
Masashi Sugiyama
AAML
83
65
0
15 Jun 2021
Adversarial Robustness via Fisher-Rao Regularization
Marine Picot
Francisco Messina
Malik Boudiaf
Fabrice Labeau
Ismail Ben Ayed
Pablo Piantanida
AAML
79
25
0
12 Jun 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning
Dian Chen
Hongxin Hu
Qian Wang
Yinli Li
Cong Wang
Chao Shen
Qi Li
48
14
0
12 Jun 2021
Adversarial purification with Score-based generative models
Jongmin Yoon
Sung Ju Hwang
Juho Lee
DiffM
92
159
0
11 Jun 2021
Attacking Adversarial Attacks as A Defense
Boxi Wu
Heng Pan
Li Shen
Jindong Gu
Shuai Zhao
Zhifeng Li
Deng Cai
Xiaofei He
Wei Liu
AAML
93
32
0
09 Jun 2021
Reliable Adversarial Distillation with Unreliable Teachers
Jianing Zhu
Jiangchao Yao
Bo Han
Jingfeng Zhang
Tongliang Liu
Gang Niu
Jingren Zhou
Jianliang Xu
Hongxia Yang
AAML
95
66
0
09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
91
32
0
09 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot
Rebecca Roelofs
Kihyuk Sohn
Nicholas Carlini
Alexey Kurakin
61
145
0
08 Jun 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
Zifeng Wang
T. Jian
A. Masoomi
Stratis Ioannidis
Jennifer Dy
AAML
69
26
0
04 Jun 2021
Improving Neural Network Robustness via Persistency of Excitation
Kaustubh Sridhar
O. Sokolsky
Insup Lee
James Weimer
AAML
97
20
0
03 Jun 2021
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