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Jacks of All Trades, Masters Of None: Addressing Distributional Shift
  and Obtrusiveness via Transparent Patch Attacks

Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks

1 May 2020
Neil Fendley
M. Lennon
I-J. Wang
Philippe Burlina
Nathan G. Drenkow
ArXiv (abs)PDFHTML

Papers citing "Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks"

4 / 4 papers shown
Exploiting Alpha Transparency In Language And Vision-Based AI Systems
Exploiting Alpha Transparency In Language And Vision-Based AI Systems
David Noever
Forrest McKee
AAML
217
1
0
15 Feb 2024
Transparency Attacks: How Imperceptible Image Layers Can Fool AI
  Perception
Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception
Forrest McKee
David Noever
AAML
841
2
0
29 Jan 2024
Using a GAN to Generate Adversarial Examples to Facial Image Recognition
Using a GAN to Generate Adversarial Examples to Facial Image Recognition
Andrew Merrigan
Alan F. Smeaton
PICVGAN
120
5
0
30 Nov 2021
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose?
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose?
M. Lennon
Nathan G. Drenkow
Philippe Burlina
AAML
168
9
0
16 Aug 2021
1
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