FaceSafe: Privacy-Compliant Inpainting Pipeline for Scalable Image Datasets
researchContext-preserving inpainting pipeline for large-scale privacy-preserving facial dataset augmentation
- First co-author; built a context-preserving inpainting pipeline enabling large-scale privacy-preserving facial dataset augmentation
- Presented at ICML 2025 workshops: Data in Generative Models (DIG-BUG) & WiML
MoE Router Interpretability
researchStudying failure modes in MoE routers as toy models of latent misalignment
- Studying failure modes in MoE routers as toy models of latent misalignment, focusing on hidden misaligned experts and deceptive routing modes
RAVEL: Receipt-Anchored Verifiable Evaluation Ledger
researchAuditable pre-label certify-or-abstain evals under covariate shift using PSIS-κ/ESS diagnostics
- Sole author; protocol for auditable, pre-label certify-or-abstain evals under covariate shift using PSIS-κ/ESS diagnostics and self-normalised importance sampling
- Evaluated on 19 text, graph, and molecular benchmarks: ~3–13× reduction in test universes at fixed PPV floors