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Mathematical Analysis of Adversarial Attacks

Mathematical Analysis of Adversarial Attacks

15 November 2018
Zehao Dou
Stanley J. Osher
Bao Wang
    AAML
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Papers citing "Mathematical Analysis of Adversarial Attacks"

5 / 5 papers shown
Title
Understanding Deep Learning defenses Against Adversarial Examples
  Through Visualizations for Dynamic Risk Assessment
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment
Xabier Echeberria-Barrio
Amaia Gil-Lerchundi
Jon Egana-Zubia
Raul Orduna Urrutia
AAML
21
6
0
12 Feb 2024
Sound and Complete Verification of Polynomial Networks
Sound and Complete Verification of Polynomial Networks
Elias Abad Rocamora
Mehmet Fatih Şahin
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
21
5
0
15 Sep 2022
GreedyFool: Multi-Factor Imperceptibility and Its Application to
  Designing a Black-box Adversarial Attack
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack
Hui Liu
Bo Zhao
Minzhi Ji
Peng Liu
AAML
24
6
0
14 Oct 2020
Softmax-based Classification is k-means Clustering: Formal Proof,
  Consequences for Adversarial Attacks, and Improvement through Centroid Based
  Tailoring
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring
Sibylle Hess
W. Duivesteijn
D. Mocanu
20
12
0
07 Jan 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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