1 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Diffusion Language Models for Perplexity-Aware Black-Box Attacks
Ali Al-Lawati, Elsayed Eshra, Dongwon Lee +1
\emph{Continuous-space} attacks find prompts that trigger malicious behaviors, such as overthinking, in black-box LLMs by sampling or optimizing over a low-dimensional Gaussian lat…
Quantifying Behavioral Tails in Black-Box Language Models
Elsayed Eshra, Ali Al-Lawati, Dongwon Lee +1
We introduce RareTrap, a framework for estimating the probability of severe behaviors in black box large language models (LLMs). A key challenge for probability estimation is defin…
WildGraph: Realistic Graph-based Trajectory Generation for Wildlife
Ali Al-Lawati, Elsayed Eshra, Prasenjit Mitra
Trajectory generation is an important task in movement studies; it circumvents the privacy, ethical, and technical challenges of collecting real trajectories from the target popula…
WildGEN: Long-horizon Trajectory Generation for Wildlife
Ali Al-Lawati, Elsayed Eshra, Prasenjit Mitra
Trajectory generation is an important concern in pedestrian, vehicle, and wildlife movement studies. Generated trajectories help enrich the training corpus in relation to deep lear…