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stat.ML2026
Exact Global MCMC with Denoising Diffusion
Mitch Hill
This work shows that diffusion models learned with standard denoising loss can provide effective global MCMC proposals for complex high-dimensional target densities. The method is…
cs.LG2026
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations
Yuan Du, Mitchel Hill, HanQin Cai
This work studies the robust evaluation of iterative stochastic purification defenses under white-box adversarial attacks. Our key technical insight is that gradient checkpointing…