Leveraging Fine-grained Telemetry Data for the Detection and Prevention of Vulnerability Exploits

Go With The Flow: Fault-Tolerant Decentralized Training of Large Language Models: Decentralised Training of Large Language Models

StateFL: State Channels Powered Federated Learning

Beyond obfuscation: Signature-based and relocation-resistant vulnerability detection in Uber JARs

Optimizing Database Joins: Cost Models and Benchmarking for CPU and GPU Systems

Optimised Private Set Intersection for Vertical Federated Tree Models

Integrating Blockchain Technology with Project Management System in the AEC Sector

Searchable Symmetric Encryption Attacks: More power with more knowledge

Unmasking the Power of Trigger Intensity in Federated Learning: Exploring Trigger Intensities in Backdoor Attacks

TabVFL: Improving Latent Representation Learning in Vertical Federated Learning

Online state migration in modern stream processing engines

Unlocking the Potential of Document Recovery in Injection Attacks against SSE: Inject Less, Recover More

Multi-server Asynchronous Federated Learning

Impact of replacing TCP by QUIC in Tor on website fingerprinting resistance

Blockchain-Based Verifiable and Privacy-Preserving Machine Learning Inference

Combining SAT solvers with heuristic ideas for solving RCPSP with logical constraints: An exploration of variable ordering heuristics impact on solving RCPSP-log

Augmenting VSIDS heuristic for the RCPSP/t by initializing activity values using domain-specific information

Why Midas would be a terrible secretary: Using a greedy approach to enhance SAT for the Preemptive Resource-Constrained project scheduling problem with set up time

Combinatorial optimization for job sequencing with one common and multiple secondary resources by using a SAT solver augmented with a domain-specific heuristic

Integration of variable selection heuristics into a MaxSAT solver for solving the multi-mode resource-constrained project scheduling problem