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Showing papers from FAIR, Meta and UCSD Show all papers

74%Highly rated
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NeurIPS 2026GoogleU California, San DiegoGoogle DeepMindU Wisconsin, MadisonEmbrace The RedLLM agents & planning

Agent Security is a Systems Problem

Agent security requires systems-level invariants treating AI as untrusted, since model robustness alone cannot prevent real-world agent attacks.

Mihai Christodorescu, Earlence Fernandes, Ashish Hooda, Somesh Jha and 10 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 1/5
76%Highly rated
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NeurIPS 2026MetaFAIR, Meta and UCSDExplainable AI

Z0-Inf: Zeroth Order Approximation for Data Influence

Z0-Inf estimates data influence via zeroth-order checkpoint losses, achieving efficient, accurate self-influence and train-test influence estimation for large language models without gradients.

Narine Kokhlikyan, Diego Garcia-Olano, Kamalika Chaudhuri, Saeed Mahloujifar

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5