5 papers · 1 filter
AI or Real: Detecting Partially Altered Videos Under Resource-Constrained Environments
Tamoghna Chakraborty, Md Nurul Absur, Sourya Saha +1
The proliferation of generative video models has shifted the practical detection threat from fully fabricated clips to partially manipulated footages. Although modern detectors ach…
Round Trip Time: A Benign Signal or an Indirect Window into Datacenter Workloads?
Sourya Saha, Md Nurul Absur, Saptarshi Debroy
Multi-tenant datacenter networks increasingly rely on shared leaf-spine fabrics, where traffic from multiple tenants traverses common network resources. While logical isolation mec…
ProFlow: RL-Driven and Performance-Aware Proactive Flow Placement in Datacenter Networks
Sourya Saha, Md Nurul Absur, Saptarshi Debroy
In datacenter fabrics composed of leaf and aggregation switches, competing flows may become co-located on shared aggregation switches, creating congestion that can significantly de…
Deep Reinforcement Learning-driven Edge Offloading for Latency-constrained XR pipelines
Sourya Saha, Saptarshi Debroy
Immersive extended reality (XR) applications introduce latency-critical workloads that must satisfy stringent real-time responsiveness while operating on energy- and battery-constr…
Understanding Sensor Vulnerabilities in Industrial XR Tracking
Sourya Saha, Md. Nurul Absur
Extended Reality (XR) systems deployed in industrial and operational settings rely on Visual--Inertial Odometry (VIO) for continuous six-degree-of-freedom pose tracking, yet these…