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Deflecting Adversarial Attacks

Deflecting Adversarial Attacks

18 February 2020
Yao Qin
Nicholas Frosst
Colin Raffel
G. Cottrell
Geoffrey E. Hinton
    AAML
ArXiv (abs)PDFHTML

Papers citing "Deflecting Adversarial Attacks"

9 / 9 papers shown
On Neural Network approximation of ideal adversarial attack and
  convergence of adversarial training
On Neural Network approximation of ideal adversarial attack and convergence of adversarial trainingSIAM Journal on Mathematics of Data Science (SIMODS), 2023
Rajdeep Haldar
Qifan Song
AAML
212
0
0
30 Jul 2023
What Are Effective Labels for Augmented Data? Improving Calibration and
  Robustness with AutoLabel
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel
Yao Qin
Xuezhi Wang
Balaji Lakshminarayanan
Ed H. Chi
Alex Beutel
UQCV
319
6
0
22 Feb 2023
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial
  Training
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training
Jiazhu Dai
Siwei Xiong
AAML
242
2
0
28 Feb 2022
Holistic Deep Learning
Holistic Deep LearningMachine-mediated learning (ML), 2021
Dimitris Bertsimas
Kimberly Villalobos Carballo
L. Boussioux
M. Li
Alex Paskov
I. Paskov
399
3
0
29 Oct 2021
Recurrent Attention Models with Object-centric Capsule Representation
  for Multi-object Recognition
Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition
Hossein Adeli
Seoyoung Ahn
G. Zelinsky
OCL
300
3
0
11 Oct 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft
  Winner-Take-All Networks
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks
Timoleon Moraitis
Dmitry Toichkin
Adrien Journé
Yansong Chua
Qinghai Guo
AAMLBDL
509
42
0
12 Jul 2021
Capsule Network is Not More Robust than Convolutional Network
Capsule Network is Not More Robust than Convolutional NetworkComputer Vision and Pattern Recognition (CVPR), 2021
Jindong Gu
Volker Tresp
Han Hu
AAML
164
35
0
29 Mar 2021
Feature Distillation With Guided Adversarial Contrastive Learning
Feature Distillation With Guided Adversarial Contrastive Learning
Tao Bai
Jinnan Chen
Jun Zhao
Bihan Wen
Xudong Jiang
Alex C. Kot
AAML
171
9
0
21 Sep 2020
Improving Calibration through the Relationship with Adversarial
  Robustness
Improving Calibration through the Relationship with Adversarial Robustness
Yao Qin
Xuezhi Wang
Alex Beutel
Ed H. Chi
AAML
305
29
0
29 Jun 2020
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