Extracting Unlearned Information from LLMs with Activation Steering
Fuente:
arXiv
Saved in:
| Main Authors: | Seyitoğlu, Atakan, Kuvshinov, Aleksei, Schwinn, Leo, Günnemann, Stephan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Intriguing Properties of Input-dependent Randomized Smoothing
by: Súkeník, Peter, et al.
Published: (2021)
by: Súkeník, Peter, et al.
Published: (2021)
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
by: Scholten, Yan, et al.
Published: (2024)
by: Scholten, Yan, et al.
Published: (2024)
Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs
by: Scholten, Yan, et al.
Published: (2025)
by: Scholten, Yan, et al.
Published: (2025)
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
by: Kollovieh, Marcel, et al.
Published: (2024)
by: Kollovieh, Marcel, et al.
Published: (2024)
HyperSteer: Activation Steering at Scale with Hypernetworks
by: Sun, Jiuding, et al.
Published: (2025)
by: Sun, Jiuding, et al.
Published: (2025)
Steer Like the LLM: Activation Steering that Mimics Prompting
by: Heyman, Geert, et al.
Published: (2026)
by: Heyman, Geert, et al.
Published: (2026)
Assessing Robustness via Score-Based Adversarial Image Generation
by: Kollovieh, Marcel, et al.
Published: (2023)
by: Kollovieh, Marcel, et al.
Published: (2023)
A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness
by: Schwinn, Leo, et al.
Published: (2026)
by: Schwinn, Leo, et al.
Published: (2026)
Programming Refusal with Conditional Activation Steering
by: Lee, Bruce W., et al.
Published: (2024)
by: Lee, Bruce W., et al.
Published: (2024)
SAKE: Steering Activations for Knowledge Editing
by: Scialanga, Marco, et al.
Published: (2025)
by: Scialanga, Marco, et al.
Published: (2025)
Closing the Distribution Gap in Adversarial Training for LLMs
by: Hu, Chengzhi, et al.
Published: (2026)
by: Hu, Chengzhi, et al.
Published: (2026)
Endogenous Resistance to Activation Steering in Language Models
by: McKenzie, Alex, et al.
Published: (2026)
by: McKenzie, Alex, et al.
Published: (2026)
Tool Unlearning for Tool-Augmented LLMs
by: Cheng, Jiali, et al.
Published: (2025)
by: Cheng, Jiali, et al.
Published: (2025)
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
by: Kadhe, Swanand Ravindra, et al.
Published: (2024)
by: Kadhe, Swanand Ravindra, et al.
Published: (2024)
Steering LLMs for Formal Theorem Proving
by: Kirtania, Shashank, et al.
Published: (2025)
by: Kirtania, Shashank, et al.
Published: (2025)
Measuring the Depth of LLM Unlearning via Activation Patching
by: Lee, Jaeung, et al.
Published: (2026)
by: Lee, Jaeung, et al.
Published: (2026)
SteeringSafety: A Systematic Safety Evaluation Framework of Representation Steering in LLMs
by: Siu, Vincent, et al.
Published: (2025)
by: Siu, Vincent, et al.
Published: (2025)
How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective
by: Qiu, Xinchi, et al.
Published: (2024)
by: Qiu, Xinchi, et al.
Published: (2024)
Steering Llama 2 via Contrastive Activation Addition
by: Panickssery, Nina, et al.
Published: (2023)
by: Panickssery, Nina, et al.
Published: (2023)
Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
by: Han, Pengrui, et al.
Published: (2026)
by: Han, Pengrui, et al.
Published: (2026)
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
by: Lamb, Tom A., et al.
Published: (2024)
by: Lamb, Tom A., et al.
Published: (2024)
A Generative Approach to LLM Harmfulness Mitigation with Red Flag Tokens
by: Dobre, David, et al.
Published: (2025)
by: Dobre, David, et al.
Published: (2025)
Improving Instruction-Following in Language Models through Activation Steering
by: Stolfo, Alessandro, et al.
Published: (2024)
by: Stolfo, Alessandro, et al.
Published: (2024)
Multi-property Steering of Large Language Models with Dynamic Activation Composition
by: Scalena, Daniel, et al.
Published: (2024)
by: Scalena, Daniel, et al.
Published: (2024)
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
by: Bigelow, Eric, et al.
Published: (2025)
by: Bigelow, Eric, et al.
Published: (2025)
Interpretable Steering of Large Language Models with Feature Guided Activation Additions
by: Soo, Samuel, et al.
Published: (2025)
by: Soo, Samuel, et al.
Published: (2025)
ContextFocus: Activation Steering for Contextual Faithfulness in Large Language Models
by: Anand, Nikhil, et al.
Published: (2026)
by: Anand, Nikhil, et al.
Published: (2026)
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
by: Zhuang, Haomin, et al.
Published: (2024)
by: Zhuang, Haomin, et al.
Published: (2024)
Shifting Perspectives: Steering Vectors for Robust Bias Mitigation in LLMs
by: Siddique, Zara, et al.
Published: (2025)
by: Siddique, Zara, et al.
Published: (2025)
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
by: Wollschläger, Tom, et al.
Published: (2025)
by: Wollschläger, Tom, et al.
Published: (2025)
Extending Activation Steering to Broad Skills and Multiple Behaviours
by: van der Weij, Teun, et al.
Published: (2024)
by: van der Weij, Teun, et al.
Published: (2024)
Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs
by: Xu, Xiaoyu, et al.
Published: (2025)
by: Xu, Xiaoyu, et al.
Published: (2025)
The Information Geometry of Softmax: Probing and Steering
by: Park, Kiho, et al.
Published: (2026)
by: Park, Kiho, et al.
Published: (2026)
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
by: Schwinn, Leo, et al.
Published: (2024)
by: Schwinn, Leo, et al.
Published: (2024)
UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs
by: Sinha, Yash, et al.
Published: (2024)
by: Sinha, Yash, et al.
Published: (2024)
Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines
by: Jørgensen, Mikkel Godsk, et al.
Published: (2026)
by: Jørgensen, Mikkel Godsk, et al.
Published: (2026)
How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models
by: Asawa, Parth, et al.
Published: (2025)
by: Asawa, Parth, et al.
Published: (2025)
Learning to Steer: Input-dependent Steering for Multimodal LLMs
by: Parekh, Jayneel, et al.
Published: (2025)
by: Parekh, Jayneel, et al.
Published: (2025)
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
by: Karvonen, Adam, et al.
Published: (2025)
by: Karvonen, Adam, et al.
Published: (2025)
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
by: Joshi, Abhinav, et al.
Published: (2024)
by: Joshi, Abhinav, et al.
Published: (2024)
Similar Items
-
Intriguing Properties of Input-dependent Randomized Smoothing
by: Súkeník, Peter, et al.
Published: (2021) -
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
by: Scholten, Yan, et al.
Published: (2024) -
Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs
by: Scholten, Yan, et al.
Published: (2025) -
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
by: Kollovieh, Marcel, et al.
Published: (2024) -
HyperSteer: Activation Steering at Scale with Hypernetworks
by: Sun, Jiuding, et al.
Published: (2025)