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  • Apr23

    The Bronx Google Development Group is hosting a Machine Learning workshop followed by a panel for moving forward in CS.

    RSVP: meetup.com/GDG-Bronx/events/277260126

    4:00pm to 6:00pm
    Virtual
    See program for details
    Google Developer Group (GDG) Bronx

    https://www.meetup.com/GDG-Bronx/events/277260126/

  • Apr23

    Significant advances have been made in the design and development of deep generative models, a family of machine learning (ML) algorithms capable of learning a given data distribution to produce new variations of that data. A popular example is the Generative Adversarial Network (GAN). While such models have demonstrated impressive utility in non-security applications in healthcare, computer vision, NLP, and other domains, it is important to investigate them through the lens of security.

    4:00pm to 5:00pm
    Zoom - See emails for details
    Bimal Viswanath
    Virginia Tech | Computer Science
  • Apr02

    Program reification is a new approach to the construction of verified concurrent programs and their proofs. This approach simplifies and scales (human and automated) reasoning by enabling a concurrent program to be represented and manipulated at multiple layers of abstraction. These abstraction layers are chained together via simple program transformations; each transformation is justified by a collection of automatically checked verification conditions.

    4:00pm
    Zoom - See emails for details
    Shaz Qadeer
    Novi | Facebook
  • Mar26

    An operating-system (OS) kernel is arguably the most important piece of software in a computer. Modern OS kernels have become extremely large and complex, containing millions of lines of code. As a result, they are unfortunately very buggy, and a single security bug (or vulnerability) may compromise the whole computer. Detecting and eliminating security bugs in OS kernels are thus imperative. However, kernel-bug detection has been considered a hard problem due to inherent limitations with whole-kernel analysis and the lack of bug specifications or detection oracles.

    4:00pm
    Zoom - See emails for details
    Kangjie Lu
    Computer Science & Engineering | The University of Minnesota-Twin Cities

    https://www-users.cs.umn.edu/~kjlu

  • Mar20

    film poster

    1:00pm to 4:15pm
    https://uiowa.zoom.us/j/92546555523
    See schedule for details
    CLAS |

    https://events.uiowa.edu/41108

  • Mar19

    The cloud model can be viewed as a contract between customers and providers: customers program against the cloud model, and the cloud provider faithfully implements the model.  In this talk, we focus on the problem of access control.

    4:00pm to 5:00pm
    Zoom - See emails for details
    Neha Rungta
    Automated Reasoning Group | Amazon Web Services (AWS)
  • Mar12

    Gradual typing combines static and dynamic typing in the same program. Siek et al. (2015) describe five criteria for gradually typed languages, including type soundness and the gradual guarantee. A significant number of languages have been developed in academia and industry that support some of these criteria (TypeScript, Typed Racket, Safe TypeScript, Transient Reticulated Python, Thorn, etc.) but relatively few support all the criteria (Nom, Gradualtalk, Guarded Reticulated Python). Of those that do, only Nom does so efficiently.

    4:00pm to 5:00pm
    Zoom - See emails for details
    Jeremy Siek
    Indiana University
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