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PRODID:-//Cornell U. Department of Computer Science//Brown Bag Seminar//EN
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SUMMARY:Brown bag: Paul Grubbs\, Jack Hessel\, Praveen Kumar
DESCRIPTION:Title: Student Colloquium\nSpeaker: Paul Grubbs\, Jack
	 Hessel\, Praveen Kumar\nAbstract: Breaking and Building End-to-End
	 Encrypted Systems - Paul Grubbs\nToday's computer systems and their
	 owners fail to protect data\, and this failure is exacerbated by new
	 threats caused by the explosion of cloud computing.  The consequences
	 are dire: sensitive information like financial statements\, medical
	 records\, and private messages are disclosed to malicious parties.  In
	 my research at the intersection of security\, cryptography\, and
	 systems\, I work to change this by breaking and building efficient
	 end-to-end (E2E) encrypted systems\, which protect data by encrypting it
	 throughout processing and storage. In this talk\, I'll explain some of
	 the flaws I've found in existing E2E-encrypted systems deployed to
	 billions of users\, and how the flaws have led me to a new methodology
	 for building E2E-encrypted systems that's rooted in co-design of
	 cryptography and systems. I'll conclude by outlining this methodology
	 and some of the new E2E-encrypted systems I've built with
	 it.\n\nUnsupervised Discovery of Multimodal Links in Multi-image\,
	 Multi-sentence Documents - Jack Hessel\nImages and text co-occur
	 constantly on the web\, but explicit links between images and sentences
	 (or other intra-document textual units) are often not present. We
	 present algorithms that discover image-sentence relationships without
	 relying on explicit multimodal annotation in training. We experiment on
	 seven datasets of varying difficulty\, ranging from documents consisting
	 of groups of images captioned post hoc by crowdworkers to
	 naturally-occurring user-generated multimodal documents. We find that a
	 structured training objective based on identifying whether collections
	 of images and sentences co-occur in documents can suffice to predict
	 links between specific sentences and specific images within the same
	 document at test time.\n\nThis is joint work with Lillian Lee and David
	 Mimno\n\nTowards predictable network performance - Praveen
	 Kumar\nPerformance isolation is a fundamental challenge in any shared
	 system. While it has been well-studied in the context of operating
	 systems\, it is exacerbated in the context of shared public clouds as
	 the scale and distributed nature of the cloud pose new challenges. In
	 this talk\, I will focus on the fundamental trade-off between network
	 performance isolation and resource efficiency in public clouds\, and
	 demonstrate how isolation break down at the end-hosts can lead to
	 unpredictable performance. Then\, I will present a system\, PicNIC\,
	 that navigates this trade-off to provide predictable performance by
	 introducing the abstraction of a \"predictable virtualized NIC\" for
	 each virtual machine (VM). PicNIC defines network performance objectives
	 for each VM and leverages two key design principles to achieve them: (i)
	 resource sharing based on performance objectives and (ii) applying
	 backpressure to sources. Finally\, I will conclude with some thoughts on
	 how we can achieve both high and predictable network performance as we
	 move towards domain-specific hardware and accelerators for networking.
LOCATION:Gates 122
UID:2019-11-19
STATUS:TENTATIVE
DTSTART:20191119T170000Z
DTEND:20191119T180000Z
LAST-MODIFIED:20191118T154217Z
ORGANIZER;CN=Jonathan Shi:http://www.cs.cornell.edu/~jshi/brownbag/
DTSTAMP:20260408T121925Z
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