Tag: adversarial machine learning
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FORTIS Benchmark: Detecting Over-Privilege in AI Skills
Discover how the FORTIS benchmark reveals over-privilege in AI agent skills, highlighting risks and guiding safer, more precise model behavior.
BoostAPR: Advanced Reinforcement Learning for Program Repair
Discover BoostAPR, a cutting-edge framework using dual reward models and reinforcement learning to revolutionize automated program repair accuracy.
Data-driven Circuit Discovery for Interpreting Language Models
Discover how Data-driven Circuit Discovery (DCD) enhances interpretability of language models by revealing multiple task-specific circuits.
When to Trust Experts in Query-Time Reinforcement Learning
Explore when and how to trust expert guidance in query-time reinforcement learning to improve AI performance in complex control tasks.
Constant-Target Energy Matching for Unified Density Estimation
Discover Constant-Target Energy Matching, a unified framework improving continuous and discrete density estimation with enhanced stability and accuracy.