From the 2 of 10 linked papers with an AI index.
10 papers
Round Trip Time: A Benign Signal or an Indirect Window into Datacenter Workloads?
Sourya Saha, Md Nurul Absur, Saptarshi Debroy
The paper studies how round‑trip time (RTT) variations in shared multi‑tenant datacenter networks can be used as a side‑channel to infer co‑located workloads, showing high inferenc…
ProFlow: RL-Driven and Performance-Aware Proactive Flow Placement in Datacenter Networks
Sourya Saha, Md Nurul Absur, Saptarshi Debroy
ProFlow is a system that uses telemetry data and reinforcement learning to detect early signs of congestion in datacenter networks and proactively reroute important traffic before…
Variational Autoencoder-Based Black-Box Adversarial Attack on Collaborative DNN Inference
Shima Yousefi, Motahare Mounesan, Saptarshi Debroy
In recent years, Deep Neural Networks (DNNs) have become increasingly integral to IoT-based environments, enabling realtime visual computing. However, the limited computational cap…
Noise-Aware Misclassification Attack Detection in Collaborative DNN Inference
Shima Yousefi, Saptarshi Debroy
Collaborative inference of object classification Deep neural Networks (DNNs) where resource-constrained end-devices offload partially processed data to remote edge servers to compl…
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…
Reinforcement Learning-Driven Edge Management for Reliable Multi-view 3D Reconstruction
Motahare Mounesan, Sourya Saha, Houchao Gan +2
Real-time multi-view 3D reconstruction is a mission-critical application for key edge-native use cases, such as fire rescue, where timely and accurate 3D scene modeling enables sit…