5 papers
Right Knowledge, Wrong Answer: Characterizing Parametric Temporal Conflict in Open-Weight Language Models
Elias Hossain, Sourav Saha, Tasfia Nuzhat Ornee +5
Language models may encode both outdated facts and their newer replacements. We introduce Parametric Temporal Conflict (PTC), where the newer fact is present and recoverable, but t…
Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models
Umesh Biswas, Shafqat Hasan, Syed Mohammed Farhan +2
Software-Defined Networking (SDN) improves network flexibility but also increases the need for reliable and interpretable intrusion detection. Large Language Models (LLMs) have rec…
Learning Robust Representations for Malicious Content Detection via Contrastive Sampling and Uncertainty Estimation
Elias Hossain, Umesh Biswas, Charan Gudla +1
We propose the Uncertainty Contrastive Framework (UCF), a Positive-Unlabeled (PU) representation learning framework that integrates uncertainty-aware contrastive loss, adaptive tem…
A Gentle Wakeup Call: Symmetry Breaking with Less Collision Cost
Umesh Biswas, Maxwell Young
The wakeup problem addresses the fundamental challenge of symmetry breaking. Initially, n devices share a time-slotted multiple access channel, which models wireless communication.…
A Survey of Recent Advancements in Secure Peer-to-Peer Networks
Raj Patel, Umesh Biswas, Surya Kodipaka +3
Peer-to-peer (P2P) networks are a cornerstone of modern computing, and their security is an active area of research. Many defenses with strong security guarantees have been propose…