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Showing papers from Tokyo Institute of Technology, Tokyo Institute of Technology Show all papers

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NeurIPS 2026Tokyo Institute of Technology, TNew YorkInstitute of Tokyo ScienceKnowledge editing

Norm Anchors Make Model Edits Last

Locate-and-Edit editing fails via a norm-feedback loop that exponentially amplifies weights; Norm-Anchor Scaling fixes it by anchoring norms to reference values, extending editing horizons 4x with minimal overhead.

Mingda Liu, Zhenghan Zhu, Ze‘an Miao, Katsuki Fujisawa

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

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lenient 4/5
medium 10/10
strict 3/5
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NeurIPS 2026PekingNew YorkHuzhou NormalTokyo Institute of Technology, TInstitute of Science TokyoAdversarial robustness

Exposing and Mitigating Temporal Attack in Deepfake Video Detection

SpInShield defends deepfake detectors against temporal spectral attacks by suppressing unstable spectral shortcuts and learning robust semantic motion cues, improving attack resilience by over 21 AUC points.

Zheyuan Gu, Minghao Shao, Zhen Wang, Keyu Mao and 6 more

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

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5