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Papers
Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
ICML 2025
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
ICML 2025
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
ICML 2025
The Jailbreak Tax: How Useful are Your Jailbreak Outputs?
ICML 2025
The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning
ICLR 2025
Centralized Selection with Preferences in the Presence of Biases
ICML 2024
Instruction Tuning for Secure Code Generation
ICML 2024
LLMSYN: Generating Synthetic Electronic Health Records Without Patient-Level Data
MLHC 2024
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
ICML 2024
Model Alignment as Prospect Theoretic Optimization
ICML 2024
The Fundamental Limits of Least-Privilege Learning
ICML 2024