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Approximate Manifold Defense Against Multiple Adversarial Perturbations
v1v2 (latest)

Approximate Manifold Defense Against Multiple Adversarial Perturbations

IEEE International Joint Conference on Neural Network (IJCNN), 2020
5 April 2020
Jay Nandy
Wynne Hsu
Yang Deng
    AAML
ArXiv (abs)PDFHTML

Papers citing "Approximate Manifold Defense Against Multiple Adversarial Perturbations"

7 / 7 papers shown
Towards Generalized Certified Robustness with Multi-Norm Training
Towards Generalized Certified Robustness with Multi-Norm Training
Enyi Jiang
Gagandeep Singh
Gagandeep Singh
AAMLELM
634
2
0
03 Oct 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$
  Perturbations
RAMP: Boosting Adversarial Robustness Against Multiple lpl_plp​ PerturbationsNeural Information Processing Systems (NeurIPS), 2024
Enyi Jiang
Gagandeep Singh
AAML
325
1
0
09 Feb 2024
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
329
8
0
02 Oct 2022
Distributional Shifts in Automated Diabetic Retinopathy Screening
Distributional Shifts in Automated Diabetic Retinopathy ScreeningInternational Conference on Information Photonics (ICIP), 2021
Jay Nandy
Wynne Hsu
Yang Deng
OODMedIm
144
8
0
25 Jul 2021
Towards Bridging the gap between Empirical and Certified Robustness
  against Adversarial Examples
Towards Bridging the gap between Empirical and Certified Robustness against Adversarial Examples
Jay Nandy
Sudipan Saha
Wynne Hsu
Yang Deng
Xiaosu Zhu
AAML
297
4
0
09 Feb 2021
Leveraging cross-platform data to improve automated hate speech
  detection
Leveraging cross-platform data to improve automated hate speech detection
John D. Gallacher
158
4
0
09 Feb 2021
Quantifying the Preferential Direction of the Model Gradient in
  Adversarial Training With Projected Gradient Descent
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient DescentPattern Recognition (Pattern Recognit.), 2020
Ricardo Bigolin Lanfredi
Joyce D. Schroeder
Tolga Tasdizen
378
14
0
10 Sep 2020
1
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