Search results

    TitleConferenceSpeaker(s)
    Towards Understanding Privacy and Trust in Online Reporting of Sexual AssaultSOUPS 2020Borke Obada-Obieh, Lucrezia Spagnolo, Konstantin Beznosov
    An investigation of phishing awareness and education over time: When and how to best remind usersSOUPS 2020Benjamin Reinheimer, Lukas Aldag, Peter Mayer, Mattia Mossano, Reyhan Duezguen, Bettina Lofthouse, Tatiana von Landesberger, Melanie Volkamer
    Replication: On the Ecological Validity of Online Security Developer Studies: Exploring Deception in a Password-Storage Study with FreelancersSOUPS 2020Anastasia Danilova, Alena Naiakshina, Johanna Deuter, Matthew Smith
    Maybe We Have Been Doing This Wrong?: Protester as PersonaSOUPS 2020Matt Mitchell
    Platform-Agnostic Lightweight Deep Learning for Garbage Collection Scheduling in SSDsHotStorage '20
    GramFS: The Graph Model-based Namespace Management of Large-scale Distributed File SystemsHotStorage '20
    Position: The Key-Value SSD as a First-Class Citizen in the Operating SystemHotStorage '20
    Position: Synergetic effects of Software and Hardware Parameters on the LSM systemHotStorage '20
    TensorPRAM: Designing a Scalable Heterogeneous Deep Learning Accelerator with Byte-addressable PRAMsHotStorage '20
    Position: Can Microservices Drive a Renaissance in Workload-Aware Storage Management?HotStorage '20
    Position: GPUKV: Towards a GPU-Driven Computing on Key-Value SSDHotStorage '20
    Position: SGX-SSD: A Policy-based Versioning SSD with Intel SGXHotStorage '20
    Position: On Failure Diagnosis of the Storage StackHotStorage '20
    DLSpec: A Deep Learning Task Exchange SpecificationOpML '20Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-mei Hwu
    Detecting Feature Eligibility Illusions in Enterprise AI AutopilotsOpML '20Fabio Casati, Veeru Metha, Gopal Sarda, Sagar Davasam, Kannan Govindarajan
    An Experimentation and Analytics Framework for Large-Scale AI Operations PlatformsOpML '20Thomas Rausch, Waldermar Hummer, Vinod Muthusamy
    Finding Bottleneck in Machine Learning Model Life CycleOpML '20Chandra Mohan Meena, Sarwesh Suman, Vijay Agneeswaran
    RIANN: Real-time Incremental Learning with Approximate Nearest Neighbor on Mobile DevicesOpML '20Jiawen Liu, Zhen Xie, Dimitrios Nikolopoulos, Dong Li
    FlexServe: Deployment of PyTorch Models as Flexible REST EndpointsOpML '20Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain
    Challenges Towards Production-Ready Explainable Machine LearningOpML '20Lisa Veiber, Kevin Allix, Yusuf Arslan, Tegawendé F. Bissyandé, Jacques Klein
    Challenges and Experiences with MLOps for Performance Diagnostics in Hybrid-Cloud Enterprise Software DeploymentsOpML '20Amitabha Banerjee, Chien-Chia Chen, Chien-Chun Hung, Xiaobo Huang, Yifan Wang, Razvan Chevesaran
    Auto Content Moderation in C2C e-CommerceOpML '20Shunya Ueta, Suganprabu Nagaraja, Mizuki Sango
    Time Travel and Provenance for Machine Learning PipelinesOpML '20Alexandru A. Ormenisan, Moritz Meister, Fabio Buso, Robin Andersson, Seif Haridi, Jim Dowling
    Addressing Some of Challenges When Optimizing Long-to-Train-ModelsOpML '20Tobias Andreasen
    More Data Science, Less Engineering: A Netflix OriginalOpML '20Savin Goyal

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