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Improving the affordability of robustness training for DNNs
v1v2 (latest)

Improving the affordability of robustness training for DNNs

11 February 2020
Sidharth Gupta
Parijat Dube
Ashish Verma
    AAML
ArXiv (abs)PDFHTML

Papers citing "Improving the affordability of robustness training for DNNs"

8 / 8 papers shown
Hyper-parameter Tuning for Adversarially Robust Models
Hyper-parameter Tuning for Adversarially Robust Models
Pedro Mendes
Paolo Romano
David Garlan
AAML
260
3
0
05 Apr 2023
A.I. Robustness: a Human-Centered Perspective on Technological
  Challenges and Opportunities
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2022
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
366
31
0
17 Oct 2022
Part-Based Models Improve Adversarial Robustness
Part-Based Models Improve Adversarial RobustnessInternational Conference on Learning Representations (ICLR), 2022
Chawin Sitawarin
Kornrapat Pongmala
Yizheng Chen
Nicholas Carlini
David Wagner
301
14
0
15 Sep 2022
Demystifying the Adversarial Robustness of Random Transformation
  Defenses
Demystifying the Adversarial Robustness of Random Transformation DefensesInternational Conference on Machine Learning (ICML), 2022
Chawin Sitawarin
Zachary Golan-Strieb
David Wagner
AAML
329
25
0
18 Jun 2022
ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language
  Models via Efficient Large-Batch Adversarial Noise
ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise
Minjia Zhang
U. Niranjan
Yuxiong He
193
1
0
29 Jan 2022
Towards Robust General Medical Image Segmentation
Towards Robust General Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Laura Alexandra Daza
Juan C. Pérez
Pablo Arbelaez
OOD
190
28
0
09 Jul 2021
Adversarial training in communication constrained federated learning
Adversarial training in communication constrained federated learning
Devansh Shah
Parijat Dube
Supriyo Chakraborty
Ashish Verma
FedML
250
45
0
01 Mar 2021
FAT: Federated Adversarial Training
FAT: Federated Adversarial Training
Giulio Zizzo
Ambrish Rawat
M. Sinn
Beat Buesser
FedML
222
57
0
03 Dec 2020
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