Tag: adversarial machine learning
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Dr. Post-Training: Data Regularization for LLMs
Discover Dr. Post-Training, a novel data regularization method enhancing LLM post-training for better performance and efficiency.
Do Audio-Video Models Truly Understand Physics?
Explore if joint audio-video generation models grasp real-world physics using the AV-Phys Bench benchmark for physical commonsense evaluation.
Differentially Private Reinforcement Learning with Function Approximation
Explore advancements in differentially private reinforcement learning using general function approximation for secure and efficient AI training.
High-Fidelity Molecular Generation from Mass Spectra
Discover DualLGD, a novel dual-stream line graph diffusion method boosting molecular generation accuracy from mass spectra by 3x over prior models.
PLOT: Efficient Neural Causal Abstraction via Optimal Transport
Discover PLOT, a novel framework using optimal transport for efficient neural causal abstraction, enhancing AI interpretability and reducing computation.