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arXivAI oversight & deception

SoK: Semantic Decision Engines in Network Control Loops

Systematizing 139 semantic decision engine families reveals most miss network deadlines and verification, with only four reporting deadline attainment; unverified decisions reverse admission verdicts under queued execution, prompting minimum reporting rules and a research agenda.

Delong Li, Chen Li, Xu Wang, Haochen Gong and 2 more

Published Oct 5, 2026 · ▲ 6 on Hugging Face · Code

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lenient 1/5
medium 8/10
strict 2/5
80%Must read
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NeurIPS 2026AI oversight & deception

Controllable Multi-label Video Safety Detection via Adaptive Tversky Policy Optimization

ATPO uses adaptive Tversky reinforcement learning for controllable multi-label video safety detection, raising Jaccard Index to 75.44 on SafeWatch-Bench-Real while enabling steerable precision-recall trade-offs.

Guangyu Yang, Jingbiao Mei, Mingsheng Sun, Jinghong Chen and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published Oct 1, 2026 · 0 citations

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
80%Must read
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arXivU Illinois Urbana-ChampaignU MichiganNvidiaNvidiaAI oversight & deception

Covert Assistance: Helpful LLM Agents Evade Oversight in Multi-Agent Systems

Benign multi-agent LLM planners disguise secrets to help developers evade oversight, with rare per-episode leaks compounding to high breach risk across repeated exchanges.

Deema Alnuhait, Gengyu Wang, Muhammad Khalifa, Hao Peng

Published Sep 30, 2026 · 0 citations · ▲ 13 on Hugging Face

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
91%Must read
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arXivAI oversight & deception

Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination

The RA-Bench benchmark reveals current detectors fail to consistently identify AI-generated crisis videos, which become harder to detect after social dissemination and frequently mislead humans.

Shuo Liang, Yixing Ma, Pengfei Zhou, Zhenglin Wan and 32 more

Published Aug 14, 2026 · 0 citations · ▲ 287 on Hugging Face · Code ★ 132

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 4/5
57%Worth a look
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NeurIPS 2026SpotlightPrincetonPrincetonAI oversight & deception

Do Thinking Tokens Help with Safety?

Narutatsu Ri, Abhishek Panigrahi, Sanjeev Arora

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

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45%Niche pick
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NeurIPS 2026GoogleU ChicagoGoogle DeepMindAI oversight & deception

Model Incrimination: Investigating Whether Concerning Behavior Reflects Misalignment

Gerson Kroiz, Aditya Singh, Senthooran Rajamanoharan, Neel Nanda

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

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NeurIPS 2026Institute of Computing Technolog, Chinese Academy of SciencesZhongguancun LaboratoryAI oversight & deception

OASIS: Online Adaptive Steering for In-Training Safety of LLMs

Yifan Sun, Qiang Sheng, Ya Wu, Zhengjia Wang and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026National University of SingaporeSingapore Managementnational university of singaore,AI oversight & deception

LLM-enabled Applications Require Systematic Threat Monitoring

Yedi Zhang, Haoyu Wang, XIANGLIN YANG, Jin Song Dong and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Massachusetts AmherstU Massachusetts at AmherstDepartment of Computer Science, AI oversight & deception

Latent Barrier Steering: Hierarchical Safety for Generative Planning

Renhao Zhang, Mingzhe Li, Bruno Silva

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

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67%Highly rated
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NeurIPS 2026City University of Hong KongUT AustinDepartment of Computer Science, Mohamed bin Zayed University of The Hong Kong University of ScieAI oversight & deception

Taming CoT Obfuscation in VLMs: From Mechanistic Evidence to Activation-Level Enforcement

Xutao Mao, Jianing Zhu, Jinman Zhao, Tongliang Liu and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 1/10
strict 0/5
57%Worth a look
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NeurIPS 2026ShanghaiTechGreat BayAI oversight & deception

Safety-Aware Latent Space Reasoning in Large Language Models

Yi Wang, Wenjie Wang, Hongye Qiu, Yu Pan

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
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NeurIPS 2026School of Computer and CommunicaEPFL/Swiss Federal Technology InRedwood ResearchU OxfordAI oversight & deception

AI Control for Sandbagging on Fuzzy Tasks

Mikhail Terekhov, Caglar Gulcehre, Vivek Hebbar, Joe Benton

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 2026U Science and Technology of ChinBeijing Electronic Science and TFudanBeijing University of Post and TChina Academy of Informaton and AI oversight & deception

Decoupled Safety Control: A Safety-Control Algorithm for Training-Free Safety Guidance

Huilin Zhou, Ruoxi Cheng, Yuhang Wang, Yuming Liu and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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medium 0/10
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NeurIPS 2026StanfordU CambridgeStanfordAI oversight & deception

Position: AI Development Should Prioritize Cognitive Security

Batu El, Shiye Su, Aneesh Pappu, Peggy Yin and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026PekingPeking University / UC BerkeleyAIGAI oversight & deception

AI Alignment Can Build Moral Autonomy

Kaile Wang, Hantao Lou, Tianyi (Alex) Qiu, Sebastian Sunday-Grève and 4 more

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

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lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026U OxfordU Toronto & Vector InstituteAI oversight & deception

Tight PAC-Bayes Generalisation Guarantees for Large Language Model Safety Monitoring

Tom Lamb, Philip Torr, Tim G. J. Rudner

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026TsinghuaTsinghua University, TsinghuaBeihangAI oversight & deception

Stress Testing Chain-of-Thought Monitoring Against Covert Misalignment

Yao Huang, Yifan Wang, Yitong Sun, Yichi Zhang and 1 more

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

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lenient 1/5
medium 0/10
strict 0/5
69%Highly rated
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NeurIPS 2026U California, Santa CruzUC Santa CruzU California, BerkeleyUC BerkeleyAI oversight & deception

Position: A Safe LLM and a Safe Harness Do Not Make a Safe Agent

Vincent Siu, Kyle Montgomery, Yujin Potter, Zhun Wang and 2 more

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

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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 1/5
45%Niche pick
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NeurIPS 2026U Notre DameAI oversight & deception

Scheming Is a Symptom: Alignment Research Should Probe Reflexive Fragility

Nan Zhang, Heng Xu

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026SpotlightNanjingSingapore ManagementAI oversight & deception

Are LLM Safety Judges Policy-Invariant? A Three-Principle Stress-Test

Shihao Weng, Yang Feng, Xiaofei Xie

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
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medium 1/10
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