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Showing papers from United States Military Academy Show all papers

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NeurIPS 2026U California, IrvineUnited States Military AcademyAdversarial robustness

Learning Recoverable Neural Networks against Weight Corruption via Simple Zero-Sum Projection

Sanggeon Yun, Ryozo Masukawa, SungHeon Jeong, Hyunwoo Oh and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026NortheasternSapienza University of RomeUnited States Military AcademySegmentation

PLACE: Patch-Level Agnostic Concept Extraction

Gabriele Onorato, Fabrizio Silvestri, Nathaniel D Bastian, Francesco Restuccia

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U FloridaU OklahomaOak Ridge National LaboratoryArgonne National LaboratoryUnited States Military AcademyMulti-agent LLM systems

Unified Resource-Grounded Coordination Protocol for Orchestrator-Free Heterogeneous Multi-Agent Systems

Vishal Pramanik, Maisha Maliha, Olivera Kotevska, Arvind Ramanathan and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U FloridaU OklahomaOak Ridge National LaboratoryUnited States Military AcademyDARPAJailbreaks & red teaming

Harmless in Pieces, Harmful in Motion: Detecting Multi-Agent Jailbreaks

Vishal Pramanik, Maisha Maliha, Olivera Kotevska, Nathaniel D Bastian and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026NortheasternU WarwickUnited States Military AcademyAdversarial robustness

When Uncertainty Is the Target: Adversarial Attacks on Uncertainty-Aware Predictors

A Q M Sazzad Sayyed, Michele Caprio, Nathaniel D Bastian, Francesco Restuccia

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Arizona StateUnited States Military AcademyModel-based RL

Near-Optimal Sample Complexity of Robust Reinforcement Learning with KL Uncertainty Set

Yudan Wang, Zilong Deng, Nathaniel D Bastian, Shaofeng Zou

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
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