3 papers
cs.CR2026
CCLab: Adversarial Testing of Learning- and Non-Learning-Based Congestion Controllers
Zhi Chen, Shehab Sarar Ahmed, Chenkai Wang +2
Congestion controllers (CCs) are critical to network performance, and yet their robustness under adverse conditions remains insufficiently understood. While recent learning-based C…
cs.NI2026
AdvNet: Revealing Performance Issues in Network Protocols by Generating Adversarial Environments
Shehab Sarar Ahmed, William Sentosa, Yinjie Zhang +6
Infrastructure protocols like Congestion Control (CC) seek to provide reliable performance across a wide range of Internet environments. Currently, protocol designers assess perfor…
eess.IV2024
FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings
John Li, Shehab Sarar Ahmed, Deepak Nair
Despite the growing adoption of video processing via Internet of Things (IoT) devices due to their cost-effectiveness, transmitting captured data to nearby servers poses challenges…