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Extract from the Register of European Patents

EP About this file: EP3639141

EP3639141 - MACHINE LEARNING FOR CONSTRAINED MUTATION-BASED FUZZ TESTING [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  17.11.2023
Database last updated on 20.05.2024
FormerThe patent has been granted
Status updated on  09.12.2022
FormerGrant of patent is intended
Status updated on  26.09.2022
FormerExamination is in progress
Status updated on  29.10.2021
FormerRequest for examination was made
Status updated on  20.03.2020
FormerThe international publication has been made
Status updated on  22.12.2018
Formerunknown
Status updated on  25.06.2018
Most recent event   Tooltip10.05.2024Lapse of the patent in a contracting state
New state(s): BE		published on 12.06.2024 [2024/24]
Applicant(s)For all designated states
Microsoft Technology Licensing, LLC
One Microsoft Way
Redmond, WA 98052-6399 / US
[2021/45]
Former [2020/17]For all designated states
Microsoft Technology Licensing LLC
One Microsoft Way
Redmond, Washington 98052-6399 / US
Inventor(s)01 / RAJPAL, Mohit
Microsoft Technology Licensing LLC
One Microsoft Way
Redmond, Washington 98052-6399 / US
02 / BLUM, William
Microsoft Technology Licensing LLC
One Microsoft Way
Redmond, Washington 98052-6399 / US
03 / SINGH, Rishabh
Microsoft Technology Licensing LLC
One Microsoft Way
Redmond, Washington 98052-6399 / US
 [2020/17]
Representative(s)CMS Cameron McKenna Nabarro Olswang LLP
Cannon Place
78 Cannon Street
London EC4N 6AF / GB
[2020/17]
Application number, filing date18730906.724.05.2018
[2020/17]
WO2018US34256
Priority number, dateUS201762520173P15.06.2017         Original published format: US 201762520173 P
US20171563613228.06.2017         Original published format: US201715636132
[2020/17]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2018231479
Date:20.12.2018
Language:EN
[2018/51]
Type: A1 Application with search report 
No.:EP3639141
Date:22.04.2020
Language:EN
The application published by WIPO in one of the EPO official languages on 20.12.2018 takes the place of the publication of the European patent application.
[2020/17]
Type: B1 Patent specification 
No.:EP3639141
Date:11.01.2023
Language:EN
[2023/02]
Search report(s)International search report - published on:EP20.12.2018
ClassificationIPC:G06F11/36, G06F21/57, G06N3/04, G06N3/08, G06N5/00, G06N20/00
[2022/38]
CPC:
G06N20/00 (EP,US); G06F11/3692 (US); G06F11/3684 (EP,US);
G06F11/3688 (US); G06F21/577 (EP,US); G06N3/044 (EP,US);
G06N3/08 (EP); G06N5/01 (EP,US); G06N5/048 (US);
G06F11/3676 (EP,US); G06F2221/033 (EP) (-)
Former IPC [2020/17]G06F11/36, G06F21/57
Designated contracting statesAL,   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 [2020/17]
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:MASCHINENLERNEN FÜR EINGESCHRÄNKTE MUTATIONSBASIERTE FUZZING-TESTS[2020/17]
English:MACHINE LEARNING FOR CONSTRAINED MUTATION-BASED FUZZ TESTING[2020/17]
French:APPRENTISSAGE AUTOMATIQUE POUR CONTRÔLE DE DONNÉES ALÉATOIRES BASÉ SUR UNE MUTATION CONTRAINTE[2020/17]
Entry into regional phase13.11.2019National basic fee paid 
13.11.2019Designation fee(s) paid 
13.11.2019Examination fee paid 
Examination procedure13.11.2019Examination requested  [2020/17]
13.11.2019Date on which the examining division has become responsible
03.07.2020Amendment by applicant (claims and/or description)
28.10.2021Despatch of a communication from the examining division (Time limit: M04)
11.02.2022Reply to a communication from the examining division
27.09.2022Communication of intention to grant the patent
06.12.2022Fee for grant paid
06.12.2022Fee for publishing/printing paid
06.12.2022Receipt of the translation of the claim(s)
Opposition(s)12.10.2023No opposition filed within time limit [2023/51]
Fees paidRenewal fee
31.03.2020Renewal fee patent year 03
13.05.2021Renewal fee patent year 04
16.03.2022Renewal fee patent year 05
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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  TooltipAT11.01.2023
CZ11.01.2023
DK11.01.2023
EE11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
MC11.01.2023
NL11.01.2023
PL11.01.2023
RO11.01.2023
RS11.01.2023
SE11.01.2023
SI11.01.2023
SK11.01.2023
SM11.01.2023
NO11.04.2023
GR12.04.2023
IS11.05.2023
PT11.05.2023
IE24.05.2023
LU24.05.2023
BE31.05.2023
CH31.05.2023
LI31.05.2023
[2024/24]
Former [2024/21]AT11.01.2023
CZ11.01.2023
DK11.01.2023
EE11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
MC11.01.2023
NL11.01.2023
PL11.01.2023
RO11.01.2023
RS11.01.2023
SE11.01.2023
SI11.01.2023
SK11.01.2023
SM11.01.2023
NO11.04.2023
GR12.04.2023
IS11.05.2023
PT11.05.2023
IE24.05.2023
LU24.05.2023
CH31.05.2023
LI31.05.2023
Former [2024/11]AT11.01.2023
CZ11.01.2023
DK11.01.2023
EE11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
MC11.01.2023
NL11.01.2023
PL11.01.2023
RO11.01.2023
RS11.01.2023
SE11.01.2023
SI11.01.2023
SK11.01.2023
SM11.01.2023
NO11.04.2023
GR12.04.2023
IS11.05.2023
PT11.05.2023
LU24.05.2023
CH31.05.2023
LI31.05.2023
Former [2024/09]AT11.01.2023
CZ11.01.2023
DK11.01.2023
EE11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
MC11.01.2023
NL11.01.2023
PL11.01.2023
RO11.01.2023
RS11.01.2023
SE11.01.2023
SK11.01.2023
SM11.01.2023
NO11.04.2023
GR12.04.2023
IS11.05.2023
PT11.05.2023
LU24.05.2023
CH31.05.2023
LI31.05.2023
Former [2024/08]AT11.01.2023
CZ11.01.2023
DK11.01.2023
EE11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
MC11.01.2023
NL11.01.2023
PL11.01.2023
RO11.01.2023
RS11.01.2023
SE11.01.2023
SK11.01.2023
SM11.01.2023
NO11.04.2023
GR12.04.2023
IS11.05.2023
PT11.05.2023
LU24.05.2023
Former [2023/50]AT11.01.2023
CZ11.01.2023
DK11.01.2023
EE11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
NL11.01.2023
PL11.01.2023
RO11.01.2023
RS11.01.2023
SE11.01.2023
SK11.01.2023
SM11.01.2023
NO11.04.2023
GR12.04.2023
IS11.05.2023
PT11.05.2023
Former [2023/49]AT11.01.2023
CZ11.01.2023
DK11.01.2023
EE11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
NL11.01.2023
PL11.01.2023
RO11.01.2023
RS11.01.2023
SE11.01.2023
SM11.01.2023
NO11.04.2023
GR12.04.2023
IS11.05.2023
PT11.05.2023
Former [2023/48]AT11.01.2023
DK11.01.2023
EE11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
NL11.01.2023
PL11.01.2023
RS11.01.2023
SE11.01.2023
SM11.01.2023
NO11.04.2023
GR12.04.2023
IS11.05.2023
PT11.05.2023
Former [2023/46]AT11.01.2023
DK11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
NL11.01.2023
PL11.01.2023
RS11.01.2023
SE11.01.2023
SM11.01.2023
NO11.04.2023
GR12.04.2023
IS11.05.2023
PT11.05.2023
Former [2023/39]AT11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
NL11.01.2023
PL11.01.2023
RS11.01.2023
SE11.01.2023
NO11.04.2023
GR12.04.2023
IS11.05.2023
PT11.05.2023
Former [2023/38]AT11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
NL11.01.2023
PL11.01.2023
RS11.01.2023
SE11.01.2023
NO11.04.2023
GR12.04.2023
PT11.05.2023
Former [2023/37]AT11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
NL11.01.2023
RS11.01.2023
SE11.01.2023
NO11.04.2023
GR12.04.2023
PT11.05.2023
Former [2023/36]AT11.01.2023
ES11.01.2023
FI11.01.2023
HR11.01.2023
LT11.01.2023
LV11.01.2023
NL11.01.2023
RS11.01.2023
SE11.01.2023
NO11.04.2023
PT11.05.2023
Former [2023/35]AT11.01.2023
ES11.01.2023
HR11.01.2023
LT11.01.2023
NL11.01.2023
RS11.01.2023
NO11.04.2023
PT11.05.2023
Former [2023/34]ES11.01.2023
LT11.01.2023
NL11.01.2023
RS11.01.2023
PT11.05.2023
Former [2023/33]ES11.01.2023
LT11.01.2023
NL11.01.2023
Former [2023/31]NL11.01.2023
Cited inInternational search[Y]US2011302455  (THOMAS GAVIN SHANE [GB], et al) [Y] 2-5,9,10,13,15 * abstract * * paragraph [0004] * * paragraph [0014] - paragraph [0016] * * paragraph [0022] - paragraph [0023] * * paragraph [0026] - paragraph [0034] * * figures 2,3 *;
 [XY]  - Fabian Beterke, "Distributed Evolutionary Fuzzing with Evofuzz", Sicherheit 2016, Lecture Notes in Informatics (LNI), Bonn, (20160101), pages 23 - 32, URL: https://subs.emis.de/LNI/Proceedings/Proceedings256/23.pdf, (20180814), XP055499534 [X] 1,6-8,11,12,14 * abstract * * Sections 2-4; pages 24-26 * [Y] 2-5,9,10,13,15
 [I]  - SHERRI SPARKS ET AL, "Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting", ISBN 978-0-7695-3060-4, (20071214), COMPUTER SECURITY APPLICATIONS CONFERENCE, 2007. ACSAC 2007. TWENTY-THIRD ANNUAL, IEEE, PAGE(S) 1 - 10, URL: http://www.cs.ucf.edu/~czou/research/EvolutionaryInputCrafting-ACSAC07.pdf, (20100315), XP002573215 [I] 1,6-8,11,12,14 * abstract * * Sections 1 - 2.2 *
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.