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Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial
  Attacks

Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks

11 June 2021
Nezihe Merve Gürel
Xiangyu Qi
Luka Rimanic
Ce Zhang
Bo-wen Li
    AAML
ArXivPDFHTML

Papers citing "Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks"

5 / 5 papers shown
Title
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
37
5
0
11 Mar 2024
Towards Building More Robust Models with Frequency Bias
Towards Building More Robust Models with Frequency Bias
Qingwen Bu
Dong Huang
Heming Cui
AAML
17
10
0
19 Jul 2023
CARE: Certifiably Robust Learning with Reasoning via Variational
  Inference
CARE: Certifiably Robust Learning with Reasoning via Variational Inference
Jiawei Zhang
Linyi Li
Ce Zhang
Bo-wen Li
AAML
OOD
40
8
0
12 Sep 2022
Verifiable Obstacle Detection
Verifiable Obstacle Detection
Ayoosh Bansal
Hunmin Kim
Simon Yu
Bo-Yi Li
N. Hovakimyan
Marco Caccamo
L. Sha
23
6
0
30 Aug 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial
  Perturbations
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations
Zirui Peng
Shaofeng Li
Guoxing Chen
Cheng Zhang
Haojin Zhu
Minhui Xue
AAML
FedML
31
66
0
17 Feb 2022
1