Intel patent protects machine learning from adversarial samples
Summary
The European Patent Office published Intel Corporation's patent EP4202786A1 covering methods and systems for protecting machine learning models from adversarial samples. The patent addresses defense mechanisms against adversarial attacks on ML systems. Designated states include all EU member states plus CH, LI, NO, TR, and others.
What changed
The European Patent Office granted Intel Corporation patent EP4202786A1, covering methods for protecting machine learning systems from adversarial samples. Published April 1, 2026, the patent addresses adversarial attack defenses for ML models with inventors Levy, Ben-Shalom, Kellermann, and Nayshtut. The patent is classified under G06N 3/094 and G06F 21/54.
Technology companies developing or deploying machine learning systems should monitor this patent for potential licensing requirements or freedom-to-operate considerations. The patent may affect companies working on ML security, adversarial robustness, or AI model protection technologies across EU-designated states.
What to do next
- Monitor for updates on patent portfolio implications
- Review licensing exposure for ML defense technologies
Archived snapshot
Apr 9, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
ADVERSARIAL SAMPLE PROTECTION FOR MACHINE LEARNING
Publication EP4202786A1 Kind: A1 Apr 01, 2026
Applicants
INTEL Corporation
Inventors
LEVY, Dor, BEN-SHALOM, Omer, KELLERMANN, Raizy, NAYSHTUT, Alex
IPC Classifications
G06N 3/094 20230101AFI20230330BHEP G06F 21/54 20130101ALI20230330BHEP G06F 21/57 20130101ALI20230330BHEP G06N 3/084 20230101ALI20230330BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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