3 papers
cs.LG2026
Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics
Muhammad H. Ashiq, Samanyu Arora, Abhinav N. Harish +3
We theoretically study the hallucination phenomena in two canonical diffusion samplers: the stochastic Denoising Diffusion Probabilistic Model (DDPM) and the deterministic Denoisin…
cs.LG2026
LJ-Bench: Ontology-Based Benchmark for U.S. Crime
Hung Yun Tseng, Wuzhen Li, Blerina Gkotse +1
The potential of Large Language Models (LLMs) to provide harmful information remains a significant concern due to the vast breadth of illegal queries they may encounter. Unfortunat…
cs.LG2025
Inducing Uncertainty on Open-Weight Models for Test-Time Privacy in Image Recognition
Muhammad H. Ashiq, Peter Triantafillou, Hung Yun Tseng +1
A key concern for AI safety remains understudied in the machine learning (ML) literature: how can we ensure users of ML models do not leverage predictions on incorrect personal dat…