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1901.00532
Cited By
Adversarial Robustness May Be at Odds With Simplicity
2 January 2019
Preetum Nakkiran
AAML
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Papers citing
"Adversarial Robustness May Be at Odds With Simplicity"
50 / 76 papers shown
When Flatness Does (Not) Guarantee Adversarial Robustness
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
202
4
0
16 Oct 2025
Adversarially Robust Spiking Neural Networks with Sparse Connectivity
Mathias Schmolli
Maximilian Baronig
Robert Legenstein
Ozan Özdenizci
AAML
229
0
0
16 May 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
Robin Hesse
Doğukan Bağcı
Bernt Schiele
Simone Schaub-Meyer
Stefan Roth
VLM
528
0
0
21 Mar 2025
NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration
Hanyi Hu
Qiao Han
Kui Chen
Yao Yang
AAML
261
0
0
18 Sep 2024
The Price of Implicit Bias in Adversarially Robust Generalization
Neural Information Processing Systems (NeurIPS), 2024
Nikolaos Tsilivis
Natalie Frank
Nathan Srebro
Julia Kempe
354
5
0
07 Jun 2024
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization
Xiangyu Yin
Wenjie Ruan
AAML
241
13
0
26 Mar 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
International Conference on Learning Representations (ICLR), 2024
Shruthi Gowda
Bahram Zonooz
Elahe Arani
AAML
340
5
0
26 Jan 2024
Training Image Derivatives: Increased Accuracy and Universal Robustness
V. Avrutskiy
433
0
0
21 Oct 2023
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments
IEEE International Conference on Distributed Computing Systems (ICDCS), 2023
Simon Queyrut
V. Schiavoni
Pascal Felber
AAML
FedML
251
16
0
13 Sep 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Simon Queyrut
Yérom-David Bromberg
V. Schiavoni
FedML
AAML
182
2
0
08 Aug 2023
How robust accuracy suffers from certified training with convex relaxations
Piersilvio De Bartolomeis
Jacob Clarysse
Amartya Sanyal
Fanny Yang
AAML
226
2
0
12 Jun 2023
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
Neural Information Processing Systems (NeurIPS), 2022
Nikolaos Tsilivis
Julia Kempe
AAML
325
26
0
11 Oct 2022
Strength-Adaptive Adversarial Training
Chaojian Yu
Dawei Zhou
Li Shen
Jun Yu
Bo Han
Biwei Huang
Nannan Wang
Tongliang Liu
OOD
249
5
0
04 Oct 2022
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training
Zihui Wu
Haichang Gao
Bingqian Zhou
Xiaoyan Guo
Shudong Zhang
AAML
244
0
0
26 Aug 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
Computer Vision and Pattern Recognition (CVPR), 2022
Tianlong Chen
Peihao Wang
Zhiwen Fan
Zinan Lin
296
67
0
04 Jul 2022
Understanding Robust Learning through the Lens of Representation Similarities
Neural Information Processing Systems (NeurIPS), 2022
Christian Cianfarani
A. Bhagoji
Vikash Sehwag
Ben Y. Zhao
Prateek Mittal
Haitao Zheng
OOD
354
19
0
20 Jun 2022
The Consistency of Adversarial Training for Binary Classification
Natalie Frank
Jonathan Niles-Weed
AAML
294
5
0
18 Jun 2022
Analyzing Modality Robustness in Multimodal Sentiment Analysis
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Devamanyu Hazarika
Yingting Li
Bo Cheng
Shuai Zhao
Roger Zimmermann
Soujanya Poria
242
43
0
30 May 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
Neural Information Processing Systems (NeurIPS), 2022
Binghui Li
Jikai Jin
Han Zhong
John E. Hopcroft
Liwei Wang
OOD
339
36
0
27 May 2022
Empirical Advocacy of Bio-inspired Models for Robust Image Recognition
Harshitha Machiraju
Oh-hyeon Choung
Michael H. Herzog
P. Frossard
AAML
VLM
OOD
209
6
0
18 May 2022
The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification
Journal of machine learning research (JMLR), 2022
Nicolas García Trillos
Matt Jacobs
Jakwang Kim
OT
447
31
0
27 Apr 2022
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
552
163
0
21 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
International Conference on Learning Representations (ICLR), 2022
Tianlong Chen
Zhenyu Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zinan Lin
OOD
AAML
386
54
0
20 Feb 2022
A Theory of PAC Learnability under Transformation Invariances
Neural Information Processing Systems (NeurIPS), 2022
Hang Shao
Omar Montasser
Avrim Blum
340
25
0
15 Feb 2022
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Yuxuan Zhang
B. Dong
Felix Heide
AAML
377
11
0
16 Dec 2021
On the Existence of the Adversarial Bayes Classifier (Extended Version)
Pranjal Awasthi
Natalie Frank
M. Mohri
469
28
0
03 Dec 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Neural Information Processing Systems (NeurIPS), 2021
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Jiawei Li
Sung-Ho Bae
Zhenguo Li
AAML
272
22
0
09 Nov 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
418
117
0
07 Oct 2021
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective
Adhyyan Narang
Vidya Muthukumar
A. Sahai
SILM
AAML
232
1
0
27 Sep 2021
A Survey on Trust Metrics for Autonomous Robotic Systems
Advances in Artificial Intelligence and Machine Learning (AAIML), 2021
Vincenzo DiLuoffo
W. Michalson
180
3
0
28 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
ACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
359
50
0
09 Jun 2021
Adversarial Feature Augmentation and Normalization for Visual Recognition
Tianlong Chen
Yu Cheng
Zhe Gan
Jianfeng Wang
Lijuan Wang
Zinan Lin
Jingjing Liu
AAML
ViT
179
21
0
22 Mar 2021
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition
Yaodong Yu
Zitong Yang
Guang Cheng
Jacob Steinhardt
Yi-An Ma
364
20
0
17 Mar 2021
Shift Invariance Can Reduce Adversarial Robustness
Neural Information Processing Systems (NeurIPS), 2021
Songwei Ge
Vasu Singla
Ronen Basri
David Jacobs
AAML
OOD
389
29
0
03 Mar 2021
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
Neural Information Processing Systems (NeurIPS), 2021
Tianlong Chen
Yu Cheng
Zhe Gan
Jingjing Liu
Zinan Lin
401
59
0
28 Feb 2021
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers
Jacob Mitchell Springer
Melanie Mitchell
Garrett Kenyon
AAML
238
15
0
09 Feb 2021
Adversarial Imaging Pipelines
Computer Vision and Pattern Recognition (CVPR), 2021
Buu Phan
Fahim Mannan
Felix Heide
AAML
277
29
0
07 Feb 2021
Robustness, Privacy, and Generalization of Adversarial Training
Fengxiang He
Shaopeng Fu
Bohan Wang
Dacheng Tao
326
13
0
25 Dec 2020
Achieving Adversarial Robustness Requires An Active Teacher
Journal of Computational Mathematics (JCM), 2020
Chao Ma
Lexing Ying
199
1
0
14 Dec 2020
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately
Fereshte Khani
Abigail Z. Jacobs
FaML
366
71
0
07 Dec 2020
Do Wider Neural Networks Really Help Adversarial Robustness?
Neural Information Processing Systems (NeurIPS), 2020
Boxi Wu
Jinghui Chen
Deng Cai
Xiaofei He
Quanquan Gu
AAML
452
105
0
03 Oct 2020
Label Smoothing and Adversarial Robustness
Chaohao Fu
Hongbin Chen
Na Ruan
Weijia Jia
AAML
181
14
0
17 Sep 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Neural Information Processing Systems (NeurIPS), 2020
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
Aleksander Madry
429
480
0
16 Jul 2020
Boundary thickness and robustness in learning models
Neural Information Processing Systems (NeurIPS), 2020
Yaoqing Yang
Rekha Khanna
Yaodong Yu
A. Gholami
Kurt Keutzer
Joseph E. Gonzalez
Kannan Ramchandran
Michael W. Mahoney
OOD
259
51
0
09 Jul 2020
How benign is benign overfitting?
International Conference on Learning Representations (ICLR), 2020
Amartya Sanyal
P. Dokania
Varun Kanade
Juil Sock
NoLa
AAML
213
61
0
08 Jul 2020
Smooth Adversarial Training
Cihang Xie
Mingxing Tan
Boqing Gong
Alan Yuille
Quoc V. Le
OOD
342
163
0
25 Jun 2020
Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples
J. O. Caro
Yilong Ju
Ryan Pyle
Sourav Dey
Wieland Brendel
Fabio Anselmi
Ankit B. Patel
AAML
419
14
0
19 Jun 2020
Trade-offs between membership privacy & adversarially robust learning
Jamie Hayes
SILM
277
3
0
08 Jun 2020
Unique properties of adversarially trained linear classifiers on Gaussian data
Jamie Hayes
AAML
281
0
0
06 Jun 2020
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing
Vishaal Krishnan
Abed AlRahman Al Makdah
Fabio Pasqualetti
OOD
AAML
448
26
0
05 Jun 2020
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