151 citations · 195 across the 20 of their papers we have counts for
8 papers · 1 filter
Signal2Symbol: Neuro-Symbolic Temporal Reasoning for Explainable Physiological Time-Series Anomaly Detection
Naser Mansour, Sidahmed Benabderrahmane, Ameer Rahwan
Physiological time series such as electrocardiograms (ECG) and electroencephalograms (EEG) exhibit complex temporal structure, substantial acquisition variability, and a strong nee…
RareSense: Rarity-Aware Similarity Search for Anomaly Retrieval in Transactional Data
Sidahmed Benabderrahmane, Talal Rahwan
Similarity search over sparse set-valued data is often dominated by frequent background attributes because classical measures such as Jaccard, cosine, and Hamming compare objects t…
A Source Domain is All You Need: Source-Only Cross-OS Transfer Learning for APT Anomaly Detection via Semantic Alignment and Optimal Transport
Sidahmed Benabderrahmanea, Petko Valtchev, James Cheney +1
Advanced Persistent Threats (APTs) are stealthy, multi-stage cyberattacks whose detection is difficult due to scarce labeled traces, severe class imbalance, and the challenge of ge…
Interpretable Crisis Behavior Analysis Using Mobility and Social Media Data
Muhammad Hamza Arshad Majeed, Sidahmed Benabderrahmane, Talal Rahwan
Crises alter both how people move and how they communicate. During emergencies such as wildfires and pandemics, changes in mobility patterns and online emotional discourse evolve j…
The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events
Gunjan, Sidahmed Benabderrahmane, Talal Rahwan
Large Language Models (LLMs) can generate fluent political text at scale, raising concerns about synthetic discourse during crises and social conflict. Existing AI-text detection o…
Real Talk, Virtual Faces: Symbolic-Semantic Discourse Geometry of Virtual and Human Influencer Audiences
Shahram Chaudhry, Sidahmed Benabderrahmane, Talal Rahwan
Virtual influencers~(VIs) -- digitally constructed social-media personas -- are becoming increasingly visible in online culture, marketing, and identity formation. Yet it remains u…
RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection
Asif Tauhid, Sidahmed Benabderrahmane, Mohamad Altrabulsi +2
Advanced Persistent Threats (APTs) are sophisticated, long-term cyberattacks that are difficult to detect because they operate stealthily and often blend into normal system behavio…
Refining Decision Boundaries In Anomaly Detection Using Similarity Search Within the Feature Space
Sidahmed Benabderrahmane, Petko Valtchev, James Cheney +1
Detecting rare and diverse anomalies in highly imbalanced datasets-such as Advanced Persistent Threats (APTs) in cybersecurity-remains a fundamental challenge for machine learning…