Gianni Antichi
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bluesky:gianniantichi.bsky.social
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who talks about the same things
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| title | conference | date |
|---|---|---|
| OSCAR: O(1)-Step Convergence and Readily-deployable Congestion Control | NSDI '26 | 2026-05-04 |
Claims O(1)-step convergence using end-to-end signals rather than INT, implements MIMD updates by estimating delay gradient via batch slope fitting with a… | ||
| Defending against Traffic Analysis Attacks with Flexible In-Network Obfuscation | NSDI '26 | 2026-05-04 |
Securitas is an in-network obfuscation framework that uses packet fragmentation and small-TTL packet insertion (triggering ICMP replies) and trains an LSTM… | ||
| Enabling Silent Telemetry Data Transmission with InvisiFlow | NSDI '25 | 2025-04-28 |
InvisiFlow routes low-priority telemetry off the shortest path by probing neighbors with pull requests and forwarding along a congestion gradient computed from… | ||
| State-Compute Replication: Parallelizing High-Speed Stateful Packet Processing | NSDI '25 | 2025-04-28 |
Introduces state-compute replication that replicates only the state-update code and attaches compact per-packet histories so each core fast-forwards private… | ||
| Isolation Mechanisms for High-Speed Packet-Processing Pipelines | 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI '22) | 2022-04-04 |
Menshen enforces isolation in RMT-style pipelines by attaching a per-tenant VLAN PID to packets, using per-program configuration overlays for parsers and key… | ||
| Backdraft: a Lossless Virtual Switch that Prevents the Slow Receiver Problem | 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI '22) | 2022-04-04 |
Lossless virtual switching implemented on BESS combines Dynamic Per-Flow Queuing to avoid head‑of‑line blocking, Doorbell queues to cut CPU overhead, and an… | ||
| Re-architecting Traffic Analysis with Neural Network Interface Cards | 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI '22) | 2022-04-04 |
The paper argues for replacing traditional supervised ML models for online network traffic analysis with binary neural networks, and introduces N3IC, a system… | ||
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