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Updated: Sep 30, 2025

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Engineering pupil function for optical adversarial attacks.

Kyulim Kim, JeongSoo Kim, Seungri Song

|March 18, 2022

Summary

This summary is machine-generated.

This study introduces the first optical adversarial attack, physically altering light to fool image classifiers. This novel method conceals perturbations better than digital attacks.

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Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

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Published on: July 26, 2016

Area of Science:

Computer Vision
Optics
Cybersecurity

Background:

Deep image classification models are vulnerable to adversarial attacks.
Existing attacks primarily operate in the digital (pixel) domain.
Optical domain attacks offer a novel approach to bypass digital defenses.

Purpose of the Study:

To introduce and demonstrate the first optical adversarial attack.
To physically alter light fields to cause misclassification in image models.
To compare the effectiveness and stealth of optical attacks against digital ones.

Main Methods:

Modulating light phase in the Fourier domain using a spatial light modulator.
Employing gradient-based optimization to determine modulator parameters.
Validating the attack through simulations and a real optical system.

Main Results:

The proposed optical attack successfully causes misclassification.
Perturbations are more effectively concealed compared to pixel-domain attacks.
The attack differs significantly from common optical aberrations.

Conclusions:

Optical adversarial attacks are feasible and effective.
This method presents a new paradigm for adversarial attacks in computer vision.
Further research into optical adversarial techniques is warranted.