20 citations · 28 across the 9 of their papers we have counts for
11 papers
Distributed Log-driven Anomaly Detection System based on Evolving Decision Making
Zhuoran Tan, Qiyuan Wang, Christos Anagnostopoulos +3
Effective anomaly detection from logs is crucial for enhancing cybersecurity defenses by enabling the early identification of threats. Despite advances in anomaly detection, existi…
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
Maximilian Forstenhäusler, Daniel Külzer, Christos Anagnostopoulos +2
Understanding user intent is essential for situational and context-aware decision-making. Motivated by a real-world scenario, this work addresses intent predictions of smart device…
Unified Semantic Log Parsing and Causal Graph Construction for Attack Attribution
Zhuoran Tan, Christos Anagnostopoulos, Shameem P. Parambath +1
Multi-source logs provide a comprehensive overview of ongoing system activities, allowing for in-depth analysis to detect potential threats. A practical approach for threat detecti…
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization
Qianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath +1
Federated Learning (FL) has been successfully adopted for distributed training and inference of large-scale Deep Neural Networks (DNNs). However, DNNs are characterized by an extre…
Improving Sequential Query Recommendation with Immediate User Feedback
Shameem A Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith
We propose an algorithm for next query recommendation in interactive data exploration settings, like knowledge discovery for information gathering. The state-of-the-art query recom…
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
Shameem A. Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith +2
We consider the query recommendation problem in closed loop interactive learning settings like online information gathering and exploratory analytics. The problem can be naturally…