19 citations · 19 across the 4 of their papers we have counts for
4 papers
QuiLL: An LLM-Based Vulnerability Assessment Framework for the Wild
Rijha Safdar, Danyail Mateen, Syed Taha Ali +1
Large Language Models (LLMs) have demonstrated exceptional progress in multiple domains of software engineering including software vulnerability detection. Using LLMs to automate v…
Data and Context Matter: Towards Generalizing AI-based Software Vulnerability Detection
Rijha Safdar, Danyail Mateen, Syed Taha Ali +2
AI-based solutions demonstrate remarkable results in identifying vulnerabilities in software, but research has consistently found that this performance does not generalize to unsee…
Self Supervised Deep Learning for Robot Grasping
Danyal Saqib, Wajahat Hussain
Learning Based Robot Grasping currently involves the use of labeled data. This approach has two major disadvantages. Firstly, labeling data for grasp points and angles is a strenuo…
On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks
Komal Mariam, Osama Mohammed Afzal, Wajahat Hussain +5
Unavailability of large training datasets is a bottleneck that needs to be overcome to realize the true potential of deep learning in histopathology applications. Although slide di…