5 papers
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning
Md Fazle Rasul, Alanood Alqobaisi, Bruhadeshwar Bezawada +1
Federated learning (FL) allows multiple entities to train a shared model collaboratively. Its core, privacy-preserving principle is that participants only exchange model updates, s…
SPEAR: Security Posture Evaluation using AI Planner-Reasoning on Attack-Connectivity Hypergraphs
Rakesh Podder, Turgay Caglar, Shadaab Kawnain Bashir +3
Graph-based frameworks are often used in network hardening to help a cyber defender understand how a network can be attacked and how the best defenses can be deployed. However, inc…
Safety Analysis in the NGAC Model
Brian Tan, Ewan S. D. Davies, Indrakshi Ray +1
We study the safety problem for the next-generation access control (NGAC) model. We show that under mild assumptions it is coNP-complete, and under further realistic assumptions we…
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors
Matt Gorbett, Hossein Shirazi, Indrakshi Ray
Binary Neural Networks (BNNs) enable efficient deep learning by saving on storage and computational costs. However, as the size of neural networks continues to grow, meeting comput…
Sparse Binary Transformers for Multivariate Time Series Modeling
Matt Gorbett, Hossein Shirazi, Indrakshi Ray
Compressed Neural Networks have the potential to enable deep learning across new applications and smaller computational environments. However, understanding the range of learning t…