The paper presents a new method called LTAU-FF for estimating the prediction uncertainty in atomistic force fields. The authors use model ensembles and cumulative distribution functions of per-sample errors to…
Continue readingThis research proposes WGAN-AFL, a method to improve the efficiency of vulnerability detection in software. The method uses fuzz testing, an automated software testing technology, to detect vulnerabilities. However, the…
Continue readingThis paper discusses unlearnable example attacks, which are data poisoning attacks that aim to degrade the accuracy of deep learning by adding imperceptible perturbations to training samples. The attack is…
Continue readingThe article presents a system that uses spatial-temporal activity for multichannel speaker diarization and separation. The architecture combines array signal processing units and deep learning units. A Spatial Activity-driven Speaker…
Continue readingThe article discusses the challenges posed by vulnerabilities in Open-Source Software (OSS) and the difficulties in automated vulnerability detection. The authors propose an automated data collection framework to construct a…
Continue readingThe article discusses the susceptibility of neural network implementations to reverse engineering. The authors use side-channel analysis on the NVIDIA Jetson Nano microcomputer to investigate this. They implement 15 popular…
Continue readingThis research focuses on utilizing liver CT scans in colorectal carcinoma genomics mutation classification. The liver is the most affected organ by distant metastasis in colon-rectal cancer patients. The study…
Continue readingThis study introduces POUR-Net, a population-prior-aided over-under-representation network for generating high-quality attenuation maps from low-dose PET scans. The aim is to minimize radiation exposure in PET imaging, which is a…
Continue readingIn this article, the authors present MINT (Make your model Interactive), a wrapper method designed to optimize the use of multimodal information in AI medical diagnosis. Doctors, during the diagnostic…
Continue readingThe article ‘Prompt Smells: An Omen for Undesirable Generative AI Outputs’ discusses the recent trends in Generative Artificial Intelligence (GenAI) and its application in various fields. It sheds light on…
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