Saved in:
| Main Authors: | O'Brien, Kyle, Casper, Stephen, Anthony, Quentin, Korbak, Tomek, Kirk, Robert, Davies, Xander, Mishra, Ishan, Irving, Geoffrey, Gal, Yarin, Biderman, Stella |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.06601 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
by: Davies, Xander, et al.
Published: (2025)
by: Davies, Xander, et al.
Published: (2025)
How to evaluate control measures for LLM agents? A trajectory from today to superintelligence
by: Korbak, Tomek, et al.
Published: (2025)
by: Korbak, Tomek, et al.
Published: (2025)
Boundary Point Jailbreaking of Black-Box LLMs
by: Davies, Xander, et al.
Published: (2026)
by: Davies, Xander, et al.
Published: (2026)
Safety Cases: A Scalable Approach to Frontier AI Safety
by: Hilton, Benjamin, et al.
Published: (2025)
by: Hilton, Benjamin, et al.
Published: (2025)
A sketch of an AI control safety case
by: Korbak, Tomek, et al.
Published: (2025)
by: Korbak, Tomek, et al.
Published: (2025)
Practical challenges of control monitoring in frontier AI deployments
by: Lindner, David, et al.
Published: (2025)
by: Lindner, David, et al.
Published: (2025)
Safety case template for frontier AI: A cyber inability argument
by: Goemans, Arthur, et al.
Published: (2024)
by: Goemans, Arthur, et al.
Published: (2024)
STACK: Adversarial Attacks on LLM Safeguard Pipelines
by: McKenzie, Ian R., et al.
Published: (2025)
by: McKenzie, Ian R., et al.
Published: (2025)
Lessons from Studying Two-Hop Latent Reasoning
by: Balesni, Mikita, et al.
Published: (2024)
by: Balesni, Mikita, et al.
Published: (2024)
Tamper-Resistant Safeguards for Open-Weight LLMs
by: Tamirisa, Rishub, et al.
Published: (2024)
by: Tamirisa, Rishub, et al.
Published: (2024)
An Example Safety Case for Safeguards Against Misuse
by: Clymer, Joshua, et al.
Published: (2025)
by: Clymer, Joshua, et al.
Published: (2025)
Existing Large Language Model Unlearning Evaluations Are Inconclusive
by: Feng, Zhili, et al.
Published: (2025)
by: Feng, Zhili, et al.
Published: (2025)
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities
by: Che, Zora, et al.
Published: (2025)
by: Che, Zora, et al.
Published: (2025)
Training Agents to Self-Report Misbehavior
by: Lee, Bruce W., et al.
Published: (2026)
by: Lee, Bruce W., et al.
Published: (2026)
RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents
by: Guo, Chengquan, et al.
Published: (2025)
by: Guo, Chengquan, et al.
Published: (2025)
Safeguarding Your Business and Management Succession.
by: Maness, Irving, et al.
Published: (1965)
by: Maness, Irving, et al.
Published: (1965)
Expanding External Access To Frontier AI Models For Dangerous Capability Evaluations
by: Charnock, Jacob, et al.
Published: (2026)
by: Charnock, Jacob, et al.
Published: (2026)
Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
by: Souly, Alexandra, et al.
Published: (2025)
by: Souly, Alexandra, et al.
Published: (2025)
SeCodePLT: A Unified Platform for Evaluating the Security of Code GenAI
by: Nie, Yuzhou, et al.
Published: (2024)
by: Nie, Yuzhou, et al.
Published: (2024)
Selective Safety Steering via Value-Filtered Decoding
by: Einbinder, Bat-Sheva, et al.
Published: (2026)
by: Einbinder, Bat-Sheva, et al.
Published: (2026)
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
by: Pasqualino, Giovanni, et al.
Published: (2024)
by: Pasqualino, Giovanni, et al.
Published: (2024)
Language Models Change Facts Based on the Way You Talk
by: Kearney, Matthew, et al.
Published: (2025)
by: Kearney, Matthew, et al.
Published: (2025)
Do Multilingual LLMs Think In English?
by: Schut, Lisa, et al.
Published: (2025)
by: Schut, Lisa, et al.
Published: (2025)
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
by: Kossen, Jannik, et al.
Published: (2023)
by: Kossen, Jannik, et al.
Published: (2023)
Simple Baselines are Competitive with Code Evolution
by: Gideoni, Yonatan, et al.
Published: (2026)
by: Gideoni, Yonatan, et al.
Published: (2026)
The Benefits and Risks of Transductive Approaches for AI Fairness
by: Razzak, Muhammed, et al.
Published: (2024)
by: Razzak, Muhammed, et al.
Published: (2024)
TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering
by: Hossain, Saad, et al.
Published: (2026)
by: Hossain, Saad, et al.
Published: (2026)
Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
by: Tice, Cameron, et al.
Published: (2026)
by: Tice, Cameron, et al.
Published: (2026)
Evaluating whether AI models would sabotage AI safety research
by: Kirk, Robert, et al.
Published: (2026)
by: Kirk, Robert, et al.
Published: (2026)
UK AISI Alignment Evaluation Case-Study
by: Souly, Alexandra, et al.
Published: (2026)
by: Souly, Alexandra, et al.
Published: (2026)
Weighted Conditional Flow Matching
by: Calvo-Ordonez, Sergio, et al.
Published: (2025)
by: Calvo-Ordonez, Sergio, et al.
Published: (2025)
Aligning language models with human preferences
by: Korbak, Tomasz
Published: (2024)
by: Korbak, Tomasz
Published: (2024)
Safeguarding Data Integrity in Online Podiatry Research: Understanding and Managing Non‐Genuine Participation
by: Will Gurr, et al.
Published: (2026)
by: Will Gurr, et al.
Published: (2026)
Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning
by: Melo, Luckeciano C., et al.
Published: (2025)
by: Melo, Luckeciano C., et al.
Published: (2025)
TextCAVs: Debugging vision models using text
by: Nicolson, Angus, et al.
Published: (2024)
by: Nicolson, Angus, et al.
Published: (2024)
Temporal-Difference Variational Continual Learning
by: Melo, Luckeciano C., et al.
Published: (2024)
by: Melo, Luckeciano C., et al.
Published: (2024)
Gaussian See, Gaussian Do: Semantic 3D Motion Transfer from Multiview Video
by: Bekor, Yarin, et al.
Published: (2025)
by: Bekor, Yarin, et al.
Published: (2025)
Adaptable Intelligent Filters of Dual Thermo‐ and pH‐ Responsive Filter Material
by: Jingwei Wu, et al.
Published: (2024)
by: Jingwei Wu, et al.
Published: (2024)
Red novae, stellar mergers in binary and triple systems, and bipolar nebulae
by: Kaminski, Tomek
Published: (2024)
by: Kaminski, Tomek
Published: (2024)
Emergent Compositional Communication for Latent World Properties
by: Kaszyński, Tomek
Published: (2026)
by: Kaszyński, Tomek
Published: (2026)
Similar Items
-
Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
by: Davies, Xander, et al.
Published: (2025) -
How to evaluate control measures for LLM agents? A trajectory from today to superintelligence
by: Korbak, Tomek, et al.
Published: (2025) -
Boundary Point Jailbreaking of Black-Box LLMs
by: Davies, Xander, et al.
Published: (2026) -
Safety Cases: A Scalable Approach to Frontier AI Safety
by: Hilton, Benjamin, et al.
Published: (2025) -
A sketch of an AI control safety case
by: Korbak, Tomek, et al.
Published: (2025)