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Relating Adversarially Robust Generalization to Flat Minima

Relating Adversarially Robust Generalization to Flat Minima

9 April 2021
David Stutz
Matthias Hein
Bernt Schiele
    OOD
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Papers citing "Relating Adversarially Robust Generalization to Flat Minima"

26 / 26 papers shown
Title
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
48
2
0
27 May 2024
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from
  a Minimax Game Perspective
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
Yifei Wang
Liangchen Li
Jiansheng Yang
Zhouchen Lin
Yisen Wang
28
11
0
30 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization
Generating Less Certain Adversarial Examples Improves Robust Generalization
Minxing Zhang
Michael Backes
Xiao Zhang
AAML
40
1
0
06 Oct 2023
Lookbehind-SAM: k steps back, 1 step forward
Lookbehind-SAM: k steps back, 1 step forward
Gonçalo Mordido
Pranshu Malviya
A. Baratin
Sarath Chandar
AAML
45
1
0
31 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial
  Transferability from Surrogate Training
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training
Yechao Zhang
Shengshan Hu
Leo Yu Zhang
Junyu Shi
Minghui Li
Xiaogeng Liu
Wei Wan
Hai Jin
AAML
22
21
0
15 Jul 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
Lingfeng Shen
Weiting Tan
Boyuan Zheng
Daniel Khashabi
VLM
39
6
0
18 May 2023
Going Further: Flatness at the Rescue of Early Stopping for Adversarial
  Example Transferability
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability
Martin Gubri
Maxime Cordy
Yves Le Traon
AAML
20
3
1
05 Apr 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of
  Neural Networks
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
Samyak Jain
Sravanti Addepalli
P. Sahu
Priyam Dey
R. Venkatesh Babu
MoMe
OOD
43
20
0
28 Feb 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural
  Networks
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
Yihan Wu
Aleksandar Bojchevski
Heng Huang
AAML
34
30
0
09 Dec 2022
Stable Deep MRI Reconstruction using Generative Priors
Stable Deep MRI Reconstruction using Generative Priors
Martin Zach
Florian Knoll
T. Pock
OOD
MedIm
DiffM
29
17
0
25 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds
Scaling Adversarial Training to Large Perturbation Bounds
Sravanti Addepalli
Samyak Jain
Gaurang Sriramanan
R. Venkatesh Babu
AAML
33
22
0
18 Oct 2022
Adaptive Smoothness-weighted Adversarial Training for Multiple
  Perturbations with Its Stability Analysis
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis
Jiancong Xiao
Zeyu Qin
Yanbo Fan
Baoyuan Wu
Jue Wang
Zhimin Luo
AAML
31
7
0
02 Oct 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level
  Physically-Grounded Augmentations
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
Tianlong Chen
Peihao Wang
Zhiwen Fan
Zhangyang Wang
36
55
0
04 Jul 2022
A Closer Look at Smoothness in Domain Adversarial Training
A Closer Look at Smoothness in Domain Adversarial Training
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
Arihant Jain
R. Venkatesh Babu
27
119
0
16 Jun 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient
  Training
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu (Allen) Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
82
46
0
20 Feb 2022
When Do Flat Minima Optimizers Work?
When Do Flat Minima Optimizers Work?
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
18
58
0
01 Feb 2022
Improving Robustness by Enhancing Weak Subnets
Improving Robustness by Enhancing Weak Subnets
Yong Guo
David Stutz
Bernt Schiele
AAML
24
15
0
30 Jan 2022
RoMA: Robust Model Adaptation for Offline Model-based Optimization
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Sihyun Yu
Sungsoo Ahn
Le Song
Jinwoo Shin
OffRL
27
31
0
27 Oct 2021
Label Noise in Adversarial Training: A Novel Perspective to Study Robust
  Overfitting
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
Chengyu Dong
Liyuan Liu
Jingbo Shang
NoLa
AAML
56
18
0
07 Oct 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
231
677
0
19 Oct 2020
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
191
273
0
03 Dec 2018
Model-Reuse Attacks on Deep Learning Systems
Model-Reuse Attacks on Deep Learning Systems
Yujie Ji
Xinyang Zhang
S. Ji
Xiapu Luo
Ting Wang
SILM
AAML
134
186
0
02 Dec 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
171
1,940
0
24 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,889
0
15 Sep 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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