Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1808.01688
Cited By
v1
v2 (latest)
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
5 August 2018
D. Su
Huan Zhang
Hongge Chen
Jinfeng Yi
Pin-Yu Chen
Yupeng Gao
VLM
Re-assign community
ArXiv (abs)
PDF
HTML
Github (98★)
Papers citing
"Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models"
50 / 181 papers shown
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
International Conference on Machine Learning (ICML), 2022
Tianyu Pang
Min Lin
Xiao Yang
Junyi Zhu
Shuicheng Yan
417
151
0
21 Feb 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception
IEEE Access (IEEE Access), 2022
Gledson Melotti
C. Premebida
Jordan J. Bird
Diego Resende Faria
Nuno Gonccalves
341
13
0
16 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models
AAAI Conference on Artificial Intelligence (AAAI), 2022
Pin-Yu Chen
Sijia Liu
AAML
382
22
0
15 Feb 2022
A Survey on Model Compression and Acceleration for Pretrained Language Models
AAAI Conference on Artificial Intelligence (AAAI), 2022
Canwen Xu
Julian McAuley
359
87
0
15 Feb 2022
Improving Generalization via Uncertainty Driven Perturbations
Matteo Pagliardini
Gilberto Manunza
Martin Jaggi
Sai Li
Tatjana Chavdarova
AAML
AI4CE
225
4
0
11 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
International Conference on Machine Learning (ICML), 2022
Avi Schwarzschild
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
AAML
OOD
404
49
0
02 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
Neural Information Processing Systems (NeurIPS), 2022
Lue Tao
Lei Feng
Jianguo Huang
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
724
17
0
31 Jan 2022
Efficient and Robust Classification for Sparse Attacks
International Symposium on Information Theory (ISIT), 2022
M. Beliaev
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
AAML
163
2
0
23 Jan 2022
Amicable Aid: Perturbing Images to Improve Classification Performance
Juyeop Kim
Jun-Ho Choi
Soobeom Jang
Jong-Seok Lee
AAML
393
2
0
09 Dec 2021
Probabilistic Approach for Road-Users Detection
Gledson Melotti
Weihao Lu
Pedro Conde
Dezong Zhao
A. Asvadi
Nuno Gonçalves
C. Premebida
374
5
0
02 Dec 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Jiabo He
AAML
TPM
342
113
0
07 Oct 2021
Noisy Feature Mixup
Soon Hoe Lim
N. Benjamin Erichson
Francisco Utrera
Winnie Xu
Michael W. Mahoney
AAML
376
39
0
05 Oct 2021
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
483
530
0
04 Oct 2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
Moninder Singh
Gevorg Ghalachyan
Kush R. Varshney
R. Bryant
108
10
0
29 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Shiyu Tang
Yazhe Niu
Yan Wang
Aishan Liu
Jinyang Guo
...
Xianglong Liu
Basel Alomair
Alan Yuille
Juil Sock
Dacheng Tao
VLM
AAML
318
122
0
11 Sep 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Canwen Xu
Wangchunshu Zhou
Tao Ge
Kelvin J. Xu
Julian McAuley
Furu Wei
233
46
0
07 Sep 2021
Semantic Perturbations with Normalizing Flows for Improved Generalization
Oğuz Kaan Yüksel
Sebastian U. Stich
Martin Jaggi
Tatjana Chavdarova
AAML
198
12
0
18 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures
J. Mok
Byunggook Na
Hyeokjun Choe
Sungroh Yoon
OOD
AAML
225
52
0
03 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Lin Wang
Navid Kardan
M. Shah
AAML
489
298
0
01 Aug 2021
A Survey on Trust Metrics for Autonomous Robotic Systems
Advances in Artificial Intelligence and Machine Learning (AAIML), 2021
Vincenzo DiLuoffo
W. Michalson
144
2
0
28 Jun 2021
Residual Error: a New Performance Measure for Adversarial Robustness
Hossein Aboutalebi
M. Shafiee
Michelle Karg
C. Scharfenberger
Alexander Wong
AAML
92
1
0
18 Jun 2021
Light Lies: Optical Adversarial Attack
Kyulim Kim
Jeong-Soo Kim
Seung-Ri Song
Jun-Ho Choi
Chul-Min Joo
Jong-Seok Lee
AAML
141
7
0
18 Jun 2021
Query Attack by Multi-Identity Surrogates
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Sizhe Chen
Zhehao Huang
Qinghua Tao
Xiaolin Huang
AAML
396
6
0
31 May 2021
Deep Repulsive Prototypes for Adversarial Robustness
A. Serban
E. Poll
Joost Visser
OOD
187
3
0
26 May 2021
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks
Information Sciences (Inf. Sci.), 2021
Cong Xu
Xiang Li
Min Yang
AAML
149
16
0
19 May 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
Yi Xu
An Ju
Evan Shelhamer
David Wagner
Trevor Darrell
AAML
283
30
0
18 May 2021
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning
Franziska Boenisch
Philip Sperl
Konstantin Böttinger
AAML
120
19
0
17 May 2021
Towards Robust Vision Transformer
Computer Vision and Pattern Recognition (CVPR), 2021
Xiaofeng Mao
Gege Qi
YueFeng Chen
Xiaodan Li
Ranjie Duan
Shaokai Ye
Yuan He
Hui Xue
ViT
466
234
0
17 May 2021
Biometrics: Trust, but Verify
IEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2021
Anil K. Jain
Debayan Deb
Joshua J. Engelsma
FaML
255
103
0
14 May 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks
International Conference on Pattern Recognition (ICPR), 2021
Jun-Ho Choi
Huan Zhang
Jun-Hyuk Kim
Cho-Jui Hsieh
Jong-Seok Lee
VLM
195
10
0
30 Apr 2021
Adversarial Robustness Guarantees for Gaussian Processes
Journal of machine learning research (JMLR), 2021
A. Patané
Arno Blaas
Luca Laurenti
L. Cardelli
Stephen J. Roberts
Marta Z. Kwiatkowska
GP
AAML
324
10
0
07 Apr 2021
Robust Classification Under
ℓ
0
\ell_0
ℓ
0
Attack for the Gaussian Mixture Model
SIAM Journal on Mathematics of Data Science (SIMODS), 2021
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
AAML
179
8
0
05 Apr 2021
Fast Certified Robust Training with Short Warmup
Neural Information Processing Systems (NeurIPS), 2021
Zhouxing Shi
Yihan Wang
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
AAML
348
66
0
31 Mar 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers
Sadaf Gulshad
A. Smeulders
OOD
AAML
113
2
0
21 Mar 2021
Generic Perceptual Loss for Modeling Structured Output Dependencies
Computer Vision and Pattern Recognition (CVPR), 2021
Yifan Liu
Hao Chen
Yu Chen
Wei Yin
Chunhua Shen
142
39
0
18 Mar 2021
Adversarial Training is Not Ready for Robot Learning
IEEE International Conference on Robotics and Automation (ICRA), 2021
Mathias Lechner
Ramin Hasani
Radu Grosu
Daniela Rus
T. Henzinger
AAML
203
34
0
15 Mar 2021
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
Neural Information Processing Systems (NeurIPS), 2021
Yu-Lin Tsai
Chia-Yi Hsu
Chia-Mu Yu
Pin-Yu Chen
AAML
OOD
255
34
0
03 Mar 2021
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chia-Yi Hsu
Pin-Yu Chen
Songtao Lu
Sijia Liu
Chia-Mu Yu
AAML
256
12
0
02 Mar 2021
Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning
Swarm and Evolutionary Computation (Swarm Evol. Comput.), 2021
Gerardo Ibarra-Vázquez
Gustavo Olague
Mariana Chan-Ley
Cesar Puente
C. Soubervielle-Montalvo
AAML
152
16
0
01 Mar 2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search
Complex & Intelligent Systems (CIS), 2021
Guoyang Xie
Jinbao Wang
Guo-Ding Yu
Feng Zheng
Yaochu Jin
AAML
146
7
0
28 Feb 2021
On the robustness of randomized classifiers to adversarial examples
Machine-mediated learning (ML), 2021
Rafael Pinot
Laurent Meunier
Florian Yger
Cédric Gouy-Pailler
Y. Chevaleyre
Jamal Atif
AAML
165
15
0
22 Feb 2021
Effective and Efficient Vote Attack on Capsule Networks
International Conference on Learning Representations (ICLR), 2021
Jindong Gu
Baoyuan Wu
Volker Tresp
AAML
155
27
0
19 Feb 2021
Training a Resilient Q-Network against Observational Interference
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chao-Han Huck Yang
I-Te Danny Hung
Ouyang Yi
Pin-Yu Chen
OOD
245
17
0
18 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Tao Bai
Jinqi Luo
Jun Zhao
Bihan Wen
Qian Wang
AAML
510
589
0
02 Feb 2021
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks
Neurocomputing (Neurocomputing), 2021
Jia-Wei Liu
Yaochu Jin
AAML
OOD
149
39
0
16 Jan 2021
Evaluating the Robustness of Collaborative Agents
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
P. Knott
Micah Carroll
Sam Devlin
K. Ciosek
Katja Hofmann
Anca Dragan
Rohin Shah
200
41
0
14 Jan 2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
Yiqin Yu
Pin-Yu Chen
Yuan Zhou
Jing Mei
OOD
95
1
0
13 Jan 2021
Unadversarial Examples: Designing Objects for Robust Vision
Neural Information Processing Systems (NeurIPS), 2020
Hadi Salman
Andrew Ilyas
Logan Engstrom
Sai H. Vemprala
Aleksander Madry
Ashish Kapoor
WIGM
215
62
0
22 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images
Yaguan Qian
Jiamin Wang
Bin Wang
Xiang Ling
Zhaoquan Gu
Chunming Wu
Wassim Swaileh
AAML
164
2
0
02 Dec 2020
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack
IEEE International Conference on Computer Vision (ICCV), 2020
Ian Ryu
Jun-Hyuk Kim
Jun-Ho Choi
Jong-Seok Lee
AAML
294
23
0
30 Nov 2020
Previous
1
2
3
4
Next
Page 2 of 4
