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Santiago Segarra

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titleconferencedate
Heuristic Analysis from Source Code via Symbolic-Guided OptimizationNSDI '262026-05-04
MetaEase analyzes heuristic source code directly, using symbolic execution (KLEE) to generate seeds per code path and a duality-based gradient for the optimal…
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Securing Public Cloud Networks with Efficient Role-based Micro-SegmentationNSDI '252025-04-28
Introduces an end-to-end system, ZTS, that infers roles from large flow logs using contrastive learning with sparse labels to reach average ARRI ≈ 0.77 on real…
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Finding Adversarial Inputs for Heuristics using Multi-level Optimization21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24)2024-04-16
MetaOpt is a solver-backed tool that encodes heuristics and an optimal baseline as a bilevel optimization, automatically rewrites inner problems into…
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NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24)2024-04-16
NetVigil uses flow-level logs aggregated into IP-granularity communication graphs (300 vertices vs ~139k flow-vertex graphs) and a GNN autoencoder trained with…
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Solving Max-Min Fair Resource Allocations Quickly on Large Graphs21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24)2024-04-16
Converts the iterative max‑min fair solver into a single fast optimization by using epsilon weighting plus a sorting network, and introduces a multipath…
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