Understanding the reliability of model explanations remains a critical challenge in deep learning. Prior work has shown that saliency maps can be manipulated by optimizing the input using gradient-based methods, where gradients of the loss with respect to the input are computed to generate dense perturbations that alte...
Khoa Tran, Thai Huy Nguyen, Quan Minh Phan et al.· International Conference on...· 0 citations
MAPGA-ME is proposed, a multi-agent extension of PGA-MAP-Elites that integrates policy gradient updates into MAP-Elites for cooperative control and identifies key factors affecting the effectiveness of policy gradient-based QD in multi-agent learning.
Hai D. Pham, N. Luong· GECCO Companion· 0 citations
Trained on large corpora of image-text pairs, vision-language models (VLMs) have proven broadly useful across many applications. However, they can still make errors that humans rarely do, particularly when exposed to adversarial inputs crafted to mislead them. Traditional approaches to uncovering such vulnerabilities t...
Thai Huy Nguyen, Khoa Tran, Quan Minh Phan et al.· Annual Conference on Genetic...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
