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2003.02460
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A Closer Look at Accuracy vs. Robustness
5 March 2020
Yao-Yuan Yang
Cyrus Rashtchian
Hongyang R. Zhang
Ruslan Salakhutdinov
Kamalika Chaudhuri
OOD
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Papers citing
"A Closer Look at Accuracy vs. Robustness"
20 / 20 papers shown
WARM: On the Benefits of Weight Averaged Reward Models
International Conference on Machine Learning (ICML), 2024
Alexandre Ramé
Nino Vieillard
Léonard Hussenot
Robert Dadashi
Geoffrey Cideron
Olivier Bachem
Johan Ferret
458
136
0
22 Jan 2024
Do stable neural networks exist for classification problems? -- A new view on stability in AI
Z. N. D. Liu
A. C. Hansen
258
4
0
15 Jan 2024
On robust overfitting: adversarial training induced distribution matters
Runzhi Tian
Yongyi Mao
OOD
335
1
0
28 Nov 2023
Doubly Robust Instance-Reweighted Adversarial Training
International Conference on Learning Representations (ICLR), 2023
Daouda Sow
Sen-Fon Lin
Zinan Lin
Yitao Liang
AAML
OOD
383
2
0
01 Aug 2023
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals
Ananth Balashankar
Xuezhi Wang
Yao Qin
Ben Packer
Nithum Thain
Jilin Chen
Ed H. Chi
Alex Beutel
250
1
0
22 May 2023
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
Network and Distributed System Security Symposium (NDSS), 2023
Rui Zhu
Di Tang
Siyuan Tang
Guanhong Tao
Shiqing Ma
Luyi Xing
Haixu Tang
DD
322
7
0
29 Jan 2023
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Chester Holtz
Tsui-Wei Weng
Zhengchao Wan
OOD
286
6
0
20 Oct 2022
Adversarially Regularized Policy Learning Guided by Trajectory Optimization
Zhigen Zhao
Simiao Zuo
T. Zhao
Ye Zhao
249
12
0
16 Sep 2021
Variational Autoencoders: A Harmonic Perspective
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
A. Camuto
M. Willetts
DRL
271
3
0
31 May 2021
Certifiably Robust Variational Autoencoders
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Ben Barrett
A. Camuto
M. Willetts
Tom Rainforth
AAML
DRL
297
17
0
15 Feb 2021
Connecting Interpretability and Robustness in Decision Trees through Separation
International Conference on Machine Learning (ICML), 2021
Michal Moshkovitz
Yao-Yuan Yang
Kamalika Chaudhuri
187
26
0
14 Feb 2021
Geometry-aware Instance-reweighted Adversarial Training
International Conference on Learning Representations (ICLR), 2020
Jingfeng Zhang
Jianing Zhu
Gang Niu
Bo Han
Masashi Sugiyama
Mohan Kankanhalli
AAML
413
312
0
05 Oct 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
Industrial Conference on Data Mining (IDM), 2020
P. Gyawali
S. Ghimire
Linwei Wang
AAML
167
8
0
23 Sep 2020
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2020
Youwei Liang
Dong Huang
397
13
0
17 Sep 2020
Adversarial robustness via robust low rank representations
Neural Information Processing Systems (NeurIPS), 2020
Pranjal Awasthi
Himanshu Jain
A. S. Rawat
Aravindan Vijayaraghavan
AAML
272
25
0
13 Jul 2020
How benign is benign overfitting?
International Conference on Learning Representations (ICLR), 2020
Amartya Sanyal
P. Dokania
Varun Kanade
Juil Sock
NoLa
AAML
201
61
0
08 Jul 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning
Lionel Blondé
Pablo Strasser
Alexandros Kalousis
454
24
0
28 Jun 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks
Neural Information Processing Systems (NeurIPS), 2020
Matt Jordan
A. Dimakis
381
138
0
02 Mar 2020
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Yue Xing
Qifan Song
Guang Cheng
159
6
0
13 Feb 2020
Design and Interpretation of Universal Adversarial Patches in Face Detection
European Conference on Computer Vision (ECCV), 2019
Xiao Yang
Fangyun Wei
Hongyang R. Zhang
Jun Zhu
AAML
CVBM
429
43
0
30 Nov 2019
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