Laser-based holography for projecting adversarial perturbations to attack image classifiers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents two complementary methods, the Wavelength-Specific Map Attack (WSMA) and Neural Beam Fooling (NBF), that translate digital adversarial techniques into the physical realm using laser-based holography and a digital micromirror device (DMD). WSMA is an adversarial attack that extends the Jacobian-based Saliency Map Attack (JSMA) by optimizing perturbation placement based on the wavelength of the perturbation laser and generalizing its approach to operate on any gradient-based attribution map. NBF enables the physical realization of these perturbations by leveraging a spatial light modulator and the Gerchberg-Saxton algorithm to project structured light patterns that induce targeted misclassification in real-world camera systems. Additionally, NBF incorporates a novel adaptive filtering step to suppress twin-image artifacts and enhance projection fidelity. We demonstrate the successful deployment of sparse adversarial perturbations under varying conditions, highlighting the feasibility of real-world adversarial interference and offering new insights into bridging digital and physical attack techniques.

Original languageEnglish (US)
Title of host publicationApplications of Machine Learning 2025
EditorsMichael E. Zelinski, Tarek M. Taha, Barath Narayanan, Abdul A. S. Awwal, Khan M. Iftekharuddin
PublisherSPIE
ISBN (Electronic)9781510691209
DOIs
StatePublished - Sep 17 2025
EventApplications of Machine Learning 2025 - San Diego, United States
Duration: Aug 4 2025Aug 6 2025

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13606
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceApplications of Machine Learning 2025
Country/TerritoryUnited States
CitySan Diego
Period8/4/258/6/25

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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