" Get in Researchers; We're Measuring Reproducibility": A Reproducibility Study of Machine Learning Papers in Tier 1 Security Conferences
D Olszewski, A Lu, C Stillman, K Warren… - Proceedings of the …, 2023 - dl.acm.org
Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …
seemingly contradictory results and expands the boundaries of known discoveries …
To Cloud or not to Cloud: A Qualitative Study on {Self-Hosters}'Motivation, Operation, and Security Mindset
L Gröber, R Mrowczynski, N Vijay, DA Muller… - 32nd USENIX Security …, 2023 - usenix.org
Despite readily available cloud services, some people decide to self-host internal or external
services for themselves or their organization. In doing so, a broad spectrum of commercial …
services for themselves or their organization. In doing so, a broad spectrum of commercial …
Securing graph neural networks in mlaas: A comprehensive realization of query-based integrity verification
The deployment of Graph Neural Networks (GNNs) within Machine Learning as a Service
(MLaaS) has opened up new attack surfaces and an escalation in security concerns …
(MLaaS) has opened up new attack surfaces and an escalation in security concerns …
Multiuser Privacy and Security Conflicts in the Cloud
Collaborative cloud platforms make it easier and more convenient for multiple users to work
together on files (GoogleDocs, Office365) and store and share them (Dropbox, OneDrive) …
together on files (GoogleDocs, Office365) and store and share them (Dropbox, OneDrive) …
What users want from cloud deletion and the information they need: A participatory action study
Current cloud deletion mechanisms fall short in meeting users' various deletion needs. They
assume all data is deleted the same way—data is temporally removed (or hidden) from …
assume all data is deleted the same way—data is temporally removed (or hidden) from …
CareFL: Contribution Guided Byzantine-Robust Federated Learning
Byzantine-robust federated learning (FL) endeavors to empower service providers in
acquiring a precise global model, even in the presence of potentially malicious FL clients …
acquiring a precise global model, even in the presence of potentially malicious FL clients …
Degrading data to save the planet
Storage capacity demand is projected to grow exponentially in the coming decade and so
will its contribution to the overall carbon footprint of computing devices. In recent years …
will its contribution to the overall carbon footprint of computing devices. In recent years …
Files of a feather flock together? Measuring and modeling how users perceive file similarity in cloud storage
Prior work suggests that users conceptualize the organization of personal collections of
digital files through the lens of similarity. However, it is unclear to what degree similar files …
digital files through the lens of similarity. However, it is unclear to what degree similar files …
Practical cloud storage auditing using serverless computing
Cloud storage auditing research is dedicated to solving the data integrity problem of
outsourced storage on the cloud. In recent years, researchers have proposed various cloud …
outsourced storage on the cloud. In recent years, researchers have proposed various cloud …
Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage
Personal cloud storage systems increasingly offer recommendations to help users retrieve
or manage files of interest. For example, Google Drive's Quick Access predicts and surfaces …
or manage files of interest. For example, Google Drive's Quick Access predicts and surfaces …