Difference between revisions of "AFSecurity Seminar"

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== Subjective Bayesian Networks ==
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== ''Confidential Computing'' ==
  
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'''DATE:''' Friday 16 September 2016. 14:00h
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|-
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| '''TIME:'''&nbsp; Friday 1 December 2023, 14:00h<br />'''PLACE:'''&nbsp;  Auditorium Smalltalk, 1st floor, IFI, UiO, Ole Johan Dahls hus, Gaustadalleen 23b, Oslo. [https://kart.finn.no/?lng=10.71782&lat=59.94342&zoom=17&mapType=normap&markers=10.71782,59.94342,r,Gaustadall%C3%A9en+23B See map].<br />
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All interested are welcome. Coffee and snaks served.<br />
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<br />'''AGENDA:'''<br />
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14:00h Welcome to AFSecurity at UiO <br />
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14:15h Invited talk<br />
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* TITLE: ''Confidential Computing'' &nbsp;
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* SPEAKER: Ijlal Loutfi, Canonical 
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| <center>[[File:photo-Ijlal-Loutfi.png|90px|link=https://www.linkedin.com/in/ijlal-loutfi-785125234/]]</center>
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| <center>[[File:logo-Canonical.png|320px|link=https://canonical.com/]]</center>
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|}
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* ABSTRACT:<br />Protecting data in-use has long been a challenging open problem in computer science. While being computed on in cleartext in system memory, your data stored in RAM is exposed to the millions lines of code that make up the underlying platform’s privileged system software. By design, a malicious firmware, or compromised operating system can easily leak your data, or compromise its integrity.<br /><br />Confidential computing is a privacy-enhancing system security primitive which addresses this challenge head-on, by running your security-sensitive processes in isolated execution environments whose security guarantees can be remotely attested. Its recent generations, such as Intel SGX, Intel TDX and AMD SEV SNP, make use of newer CPU hardware and architectural extensions, such as the AES-128 hardware encryption engine which encrypts RAM memory pages in real-time. Hardware with these capabilities is already available in the market, and public cloud providers have been one of its early adopters.<br /><br />In this presentation, we first visit the history of confidential computing, then study the technical system primitives which allow us to implement both isolation and attestation. We also explore the different silicon implementations of confidential computing, where they are deployed today, and for which uses cases.
  
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'''LOCATION:'''&nbsp; Level 9 meeting room (room 9460), Ole Johan Dahl's House. (take lift D to level 9, call 98431433 if door is locked)
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<br />15:00h Discussion<br />
  
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'''AGENDA:'''
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'''BIO:''' &nbsp; Dr. Ijlal Loutfi is the product lead for Ubuntu Security at Canonical. She has a PhD in cyber security from the University of Oslo, where she worked on Trusted Execution Environments and Identity Management.
  
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14:00h Welcome at IFI
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<br /><br />
  
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14:15h Talk: ''Efficient Subjective Bayesian Network Belief Propagation for Trees''
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{| border="0" cellpadding="1" cellspacing="1" width="90%"
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|-
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15:00h Discussion
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| [[File:AFSecurity-small.png|250px]]
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| AF''Security'' is organised by UiO [https://www.mn.uio.no/ifi/forskning/grupper/sec/ Digital Security].
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'''SPEAKER:''' Lance Kaplan, US Army Research Laboratory
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| [[File:logo-uio-english-2022.png|250px|link=https://www.mn.uio.no/]]
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| [[File:Sec-light-360.png|150px|link=https://www.mn.uio.no/ifi/english/research/groups/sec/]]
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'''ABSTRACT:'''
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|}
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Subjective Bayesian networks extend Bayesian networks by incorporating uncertainty in the conditional probabilities. This paper develops subjective belief propagation (SBP) that extends regular belief propagation (BP) to efficiently infer uncertain marginal probabilities in subjective Bayesian networks. It is shown that SBP's runtime exhibits only slightly slower performance than standard BP but is able to effectively characterize a distribution for the marginals. Simulations affirm that unlike the valuation-based system, a previous uncertain probabilistic reasoning framework, SBP is able to effectively capture bounds for the actual error in a consistent manner.
 
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'''SPEAKER BIO:'''
 
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Lance M. Kaplan received the B.S. degree with distinction from Duke University, Durham, NC, in 1989 and the M.S. and Ph.D. degrees from the University of Southern California, Los Angeles, in 1991and 1994, respectively, all in Electrical Engineering. From 1987–1990, Dr. Kaplan worked as a Technical Assistant at the Georgia Tech Research Institute. He held a National Science Foundation Graduate Fellowship and a USC Dean’s Merit Fellowship from 1990–1993, and worked as a Research Assistant in the Signal and Image Processing Institute at the University of Southern California from 1993–1994. Then, he worked on staff in the Reconnaissance Systems Department of the Hughes Aircraft Company from 1994–1996. From 1996–2004, he was a member of the faculty in the Department of Engineering and a senior investigator in the Center of Theoretical Studies of Physical Systems (CTSPS) at Clark Atlanta University (CAU), Atlanta, GA. Currently, he is a researcher in the Networked Sensing and Fusion branch of the U.S Army Research Laboratory (ARL). Dr. Kaplan serves as Editor-In-Chief for the IEEE Transactions on Aerospace and Electronic Systems (AES) and as VP of Conferences for the International Society of Information Fusion (ISIF). Previously, he served on the Board of Governors of the IEEE AES Society (2008-2013) and on the Board of Directors of ISIF (2012-2014). He is a three time recipient of the Clark Atlanta University Electrical Engineering Instructional Excellence Award from 1999–2001. He is a Fellow of IEEE and of ARL. His current research interests include signal and image processing, information/data fusion, network science and resource management.
 

Latest revision as of 15:30, 14 November 2023

Confidential Computing

TIME:  Friday 1 December 2023, 14:00h
PLACE:  Auditorium Smalltalk, 1st floor, IFI, UiO, Ole Johan Dahls hus, Gaustadalleen 23b, Oslo. See map.

All interested are welcome. Coffee and snaks served.

AGENDA:
14:00h Welcome to AFSecurity at UiO
14:15h Invited talk

  • TITLE: Confidential Computing  
  • SPEAKER: Ijlal Loutfi, Canonical
Photo-Ijlal-Loutfi.png
Logo-Canonical.png
  • ABSTRACT:
    Protecting data in-use has long been a challenging open problem in computer science. While being computed on in cleartext in system memory, your data stored in RAM is exposed to the millions lines of code that make up the underlying platform’s privileged system software. By design, a malicious firmware, or compromised operating system can easily leak your data, or compromise its integrity.

    Confidential computing is a privacy-enhancing system security primitive which addresses this challenge head-on, by running your security-sensitive processes in isolated execution environments whose security guarantees can be remotely attested. Its recent generations, such as Intel SGX, Intel TDX and AMD SEV SNP, make use of newer CPU hardware and architectural extensions, such as the AES-128 hardware encryption engine which encrypts RAM memory pages in real-time. Hardware with these capabilities is already available in the market, and public cloud providers have been one of its early adopters.

    In this presentation, we first visit the history of confidential computing, then study the technical system primitives which allow us to implement both isolation and attestation. We also explore the different silicon implementations of confidential computing, where they are deployed today, and for which uses cases.


15:00h Discussion

BIO:   Dr. Ijlal Loutfi is the product lead for Ubuntu Security at Canonical. She has a PhD in cyber security from the University of Oslo, where she worked on Trusted Execution Environments and Identity Management.




AFSecurity-small.png AFSecurity is organised by UiO Digital Security. Logo-uio-english-2022.png Sec-light-360.png
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