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EP4097632

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Extract from the Register of European Patents

EP About this file: EP4097632

EP4097632 - METHOD TO GENERATE TRAINING DATA FOR A BOT DETECTOR MODULE, BOT DETECTOR MODULE TRAINED FROM TRAINING DATA GENERATED BY THE METHOD AND BOT DETECTION SYSTEM [Right-click to bookmark this link]
Status	No opposition filed within time limit Status updated on 06.03.2026 Database last updated on 24.03.2026
Former	The patent has been granted Status updated on 28.03.2025
Former	Grant of patent is intended Status updated on 27.11.2024
Former	Request for examination was made Status updated on 04.11.2022
Former	The international publication has been made Status updated on 06.08.2021
Former	unknown Status updated on 08.02.2021
Most recent event Tooltip	06.03.2026	No opposition filed within time limit	published on 08.04.2026 [2026/15]
Applicant(s)	For all designated states Universidad Autónoma de Madrid Ciudad Universitaria de Cantoblanco Calle Einstein 3 28049 Madrid / ES
	[2025/17]
Former [2022/49]	For all designated states Universidad Autónoma de Madrid Ciudad Universitaria de Cantoblanco C. Einstein 13, Pabellón C 28049 Madrid / ES
Inventor(s)	01 / MORALES MORENO, Aythami Ciudad Universitaria de Cantoblanco C. Einstein 13, Pabellón C 28049 Madrid / ES
	02 / ORTEGA GARCÍA, Javier Ciudad Universitaria de Cantoblanco C. Einstein 13, Pabellón C 28049 Madrid / ES
	03 / FIERREZ AGUILAR, Julián Ciudad Universitaria de Cantoblanco C. Einstein 13, Pabellón C 28049 Madrid / ES
	04 / VERA RODRIGUEZ, Rubén Ciudad Universitaria de Cantoblanco C. Einstein 13, Pabellón C 28049 Madrid / ES
	05 / ACIEN AYALA, Alejandro Ciudad Universitaria de Cantoblanco C. Einstein 13, Pabellón C 28049 Madrid / ES
	06 / TOLOSANA MORANCHEL, Ruben Ciudad Universitaria de Cantoblanco C. Einstein 13, Pabellón C 28049 Madrid / ES
	07 / BARTOLOMÉ GONZALEZ, Ivan Ciudad Universitaria de Cantoblanco C. Einstein 13, Pabellón C 28049 Madrid / ES
	[2022/49]
Representative(s)	ZBM Patents - Zea, Barlocci & Markvardsen Rambla de Catalunya, 123 08008 Barcelona / ES
	[2025/18]
Former [2022/49]	ZBM Patents - Zea, Barlocci & Markvardsen Rambla Catalunya, 123 08008 Barcelona / ES
Application number, filing date	21702262.3	27.01.2021
	[2022/49]
	WO2021EP51864
Priority number, date	ES20200030066	28.01.2020 Original published format: ES 202030066
	[2022/49]
Filing language	EN
Procedural language	EN
Publication	Type:	A1 Application with search report
	No.:	WO2021151947
	Date:	05.08.2021
	Language:	EN
	[2021/31]
	Type:	A1 Application with search report
	No.:	EP4097632
	Date:	07.12.2022
	Language:	EN
	The application published by WIPO in one of the EPO official languages on 05.08.2021 takes the place of the publication of the European patent application.
	[2022/49]
	Type:	B1 Patent specification
	No.:	EP4097632
	Date:	30.04.2025
	Language:	EN
	[2025/18]
Search report(s)	International search report - published on:	EP	05.08.2021
Classification	IPC:	G06F18/214, G06V10/82, G06V40/20, G06V40/40	[2024/52]
	CPC:	G06V40/20 (EP,US); G06F18/214 (EP); G06V10/82 (EP,US); G06V40/40 (EP,US)
	Former IPC [2022/49]	G06K9/00, G06K9/62
Designated contracting 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, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR [2022/49]
Extension states	BA	Not yet paid
	ME	Not yet paid
Validation states	KH	Not yet paid
	MA	Not yet paid
	MD	Not yet paid
	TN	Not yet paid
Title	German:	VERFAHREN ZUR ERZEUGUNG VON TRAININGSDATEN FÜR EIN BOT-DETEKTORMODUL, BOT-DETEKTORMODUL, DAS ANHAND VON DURCH DAS VERFAHREN ERZEUGTEN TRAININGSDATEN TRAINIERT WIRD, UND BOT-DETEKTIONSSYSTEM	[2022/49]
	English:	METHOD TO GENERATE TRAINING DATA FOR A BOT DETECTOR MODULE, BOT DETECTOR MODULE TRAINED FROM TRAINING DATA GENERATED BY THE METHOD AND BOT DETECTION SYSTEM	[2022/49]
	French:	PROCÉDÉ POUR GÉNÉRER DES DONNÉES D'APPRENTISSAGE POUR UN MODULE DE DÉTECTION DE ROBOT, MODULE DE DÉTECTION DE ROBOT ENTRAÎNÉ À PARTIR DE DONNÉES D'APPRENTISSAGE GÉNÉRÉES PAR LE PROCÉDÉ ET SYSTÈME DE DÉTECTION DE ROBOT	[2022/49]
Entry into regional phase	29.08.2022	National basic fee paid
	29.08.2022	Designation fee(s) paid
	29.08.2022	Examination fee paid
Examination procedure	24.08.2022	Amendment by applicant (claims and/or description)
	29.08.2022	Examination requested [2022/49]
	29.08.2022	Date on which the examining division has become responsible
	28.11.2024	Communication of intention to grant the patent
	18.03.2025	Fee for grant paid
	18.03.2025	Fee for publishing/printing paid
	18.03.2025	Receipt of the translation of the claim(s)
Opposition(s)	02.02.2026	No opposition filed within time limit [2026/15]
Fees paid	Renewal fee
	31.01.2023	Renewal fee patent year 03
	31.01.2024	Renewal fee patent year 04
	31.01.2025	Renewal fee patent year 05
Opt-out from the exclusive Tooltip competence of the Unified Patent Court	See the Register of the Unified Patent Court for opt-out data
	Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition Tooltip	CZ	30.04.2025
	HR	30.04.2025
	PL	30.04.2025
	SK	30.04.2025
	SM	30.04.2025
	NO	30.07.2025
	GR	31.07.2025
	RS	31.07.2025
	IS	30.08.2025
	[2026/10]
Former [2026/09]	CZ	30.04.2025
	HR	30.04.2025
	PL	30.04.2025
	SM	30.04.2025
	NO	30.07.2025
	GR	31.07.2025
	RS	31.07.2025
	IS	30.08.2025
Former [2026/08]	HR	30.04.2025
	PL	30.04.2025
	SM	30.04.2025
	NO	30.07.2025
	GR	31.07.2025
	RS	31.07.2025
	IS	30.08.2025
Former [2025/49]	HR	30.04.2025
	PL	30.04.2025
	NO	30.07.2025
	GR	31.07.2025
	RS	31.07.2025
	IS	30.08.2025
Former [2025/48]	HR	30.04.2025
	PL	30.04.2025
	NO	30.07.2025
	GR	31.07.2025
	RS	31.07.2025
Former [2025/47]	PL	30.04.2025
	NO	30.07.2025
	GR	31.07.2025
Cited in	International search	[I] US10496809 (PHAM VINCENT et al.)
		[A] US2018300572 (ESMAN GLEB et al.)
		[I] EP3540633 (IDENTY INC et al.) [I] 1-14 * column 4, line 12 - column 16, line 14; figures 1-6 *
	Examination	EP3540633
		US2021027041
	by applicant	SANG-YUN S. ET AL., ANDROID-GAN: DEFENDING AGAINST ANDROID PATTERN ATTACKS USING MULTIMODAL GENERATIVE NETWORK AS ANOMALY DETECTOR. EXPERT SYSTEMS WITH APPLICATIONS, 9 October 2019 (2019-10-09)
		WANG JIWEI ET AL.: "SensoryGANs: An Effective Generative Adversarial Framework for Sensorbased Human Activity Recognition", INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) IEEE, 7 July 2018 (2018-07-07)

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