Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2211.12624
Cited By
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
22 November 2022
Zifa Wang
Nan Ding
Tomer Levinboim
Xi Chen
Radu Soricut
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization"
41 / 41 papers shown
Title
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
Haotian Ju
Dongyue Li
Hongyang R. Zhang
74
30
0
06 Jun 2022
Focused Adversarial Attacks
Thomas Cilloni
Charles Walter
Charles Fleming
AAML
37
1
0
19 May 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights
Gao Jin
Xinping Yi
Wei Huang
S. Schewe
Xiaowei Huang
AAML
66
47
0
11 Mar 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
Nan Ding
Xi Chen
Tomer Levinboim
Soravit Changpinyo
Radu Soricut
52
28
0
10 Mar 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Tianyu Pang
Min Lin
Xiao Yang
Junyi Zhu
Shuicheng Yan
100
122
0
21 Feb 2022
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Yujia Huang
Huan Zhang
Yuanyuan Shi
J Zico Kolter
Anima Anandkumar
73
78
0
02 Nov 2021
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
143
204
0
21 Oct 2021
Improving Robustness using Generated Data
Sven Gowal
Sylvestre-Alvise Rebuffi
Olivia Wiles
Florian Stimberg
D. A. Calian
Timothy A. Mann
68
300
0
18 Oct 2021
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning
Nan Ding
Xi Chen
Tomer Levinboim
Sebastian Goodman
Radu Soricut
49
33
0
28 May 2021
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
Vikash Sehwag
Saeed Mahloujifar
Tinashe Handina
Sihui Dai
Chong Xiang
M. Chiang
Prateek Mittal
OOD
76
130
0
19 Apr 2021
On the Robustness of Vision Transformers to Adversarial Examples
Kaleel Mahmood
Rigel Mahmood
Marten van Dijk
ViT
103
224
0
31 Mar 2021
A PAC-Bayes Analysis of Adversarial Robustness
Paul Viallard
Guillaume Vidot
Amaury Habrard
Emilie Morvant
AAML
29
14
0
19 Feb 2021
Globally-Robust Neural Networks
Klas Leino
Zifan Wang
Matt Fredrikson
AAML
OOD
110
130
0
16 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
596
40,961
0
22 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
47
331
0
07 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
184
1,345
0
03 Oct 2020
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
556
18,008
0
19 Jun 2020
Evading Deepfake-Image Detectors with White- and Black-Box Attacks
Nicholas Carlini
Hany Farid
AAML
53
149
0
01 Apr 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
213
1,842
0
03 Mar 2020
Overfitting in adversarially robust deep learning
Leslie Rice
Eric Wong
Zico Kolter
94
801
0
26 Feb 2020
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
Jonas Rothfuss
Vincent Fortuin
Martin Josifoski
Andreas Krause
UQCV
54
127
0
13 Feb 2020
Information-Theoretic Local Minima Characterization and Regularization
Zhiwei Jia
Hao Su
52
19
0
19 Nov 2019
Unlabeled Data Improves Adversarial Robustness
Y. Carmon
Aditi Raghunathan
Ludwig Schmidt
Percy Liang
John C. Duchi
121
752
0
31 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
606
4,777
0
13 May 2019
Negative eigenvalues of the Hessian in deep neural networks
Guillaume Alain
Nicolas Le Roux
Pierre-Antoine Manzagol
42
43
0
06 Feb 2019
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Michael I. Jordan
129
2,548
0
24 Jan 2019
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
G. Ding
Yash Sharma
Kry Yik-Chau Lui
Ruitong Huang
AAML
58
273
0
06 Dec 2018
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei
Siyuan Liang
Ning Chen
Xiaochun Cao
AAML
96
223
0
30 Nov 2018
Physical Adversarial Examples for Object Detectors
Kevin Eykholt
Ivan Evtimov
Earlence Fernandes
Yue Liu
Amir Rahmati
Florian Tramèr
Atul Prakash
Tadayoshi Kohno
D. Song
AAML
90
469
0
20 Jul 2018
Scaling provable adversarial defenses
Eric Wong
Frank R. Schmidt
J. H. Metzen
J. Zico Kolter
AAML
76
448
0
31 May 2018
Group Normalization
Yuxin Wu
Kaiming He
223
3,652
0
22 Mar 2018
Adversarial Logit Pairing
Harini Kannan
Alexey Kurakin
Ian Goodfellow
AAML
95
628
0
16 Mar 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedML
MoMe
114
1,659
0
14 Mar 2018
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
273
9,759
0
25 Oct 2017
Exploring Generalization in Deep Learning
Behnam Neyshabur
Srinadh Bhojanapalli
David A. McAllester
Nathan Srebro
FAtt
141
1,255
0
27 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
294
12,060
0
19 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
233
4,630
0
16 Apr 2017
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
254
8,550
0
16 Aug 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
524
5,897
0
08 Jul 2016
PAC-Bayesian Theory Meets Bayesian Inference
Pascal Germain
Francis R. Bach
Alexandre Lacoste
Simon Lacoste-Julien
68
183
0
27 May 2016
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
264
19,045
0
20 Dec 2014
1