A new configurable agent-based simulation model for EV charging systems shows how infrastructure configurations and coordination strategies affect charging performance, utilization, and grid load in a workplace scenario.
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A new adversarial generator for Linux ELF malware achieves 67.74% evasion against MalConv by inserting benign-like strings, with the detector showing mean confidence drop of 0.50.
Bilevel optimization models attacker-defender co-evolution in malware detection, cutting evasion rates from up to 90% to 0-1.89% on three families while raising attacker query costs by up to 100x.
Develops a generalized functional linear model with spatial dependence in the response, using basis expansion and composite likelihood estimation, with asymptotic inference under repeating lattice asymptotics, illustrated on binary responses and applied to corn yield data.
citing papers explorer
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A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems
A new configurable agent-based simulation model for EV charging systems shows how infrastructure configurations and coordination strategies affect charging performance, utilization, and grid load in a workplace scenario.
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Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations
A new adversarial generator for Linux ELF malware achieves 67.74% evasion against MalConv by inserting benign-like strings, with the detector showing mean confidence drop of 0.50.
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Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective
Bilevel optimization models attacker-defender co-evolution in malware detection, cutting evasion rates from up to 90% to 0-1.89% on three families while raising attacker query costs by up to 100x.
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Generalized linear models with spatial dependence and a functional covariate
Develops a generalized functional linear model with spatial dependence in the response, using basis expansion and composite likelihood estimation, with asymptotic inference under repeating lattice asymptotics, illustrated on binary responses and applied to corn yield data.