Invention Description Retrieval-Augmented Generative (RAG) models boost generative AI’s accuracy by connecting large language models (LLMs) with the most current, external, knowledge sources. RAG models are widely used in fact-checking, information retrieval, and AI-driven search engines. Despite their utility, adversarial threats can exploit...

Invention Description UAVs rely on fiducial markers, such as AprilTag or Aruco, to help with navigation and precision landing under GPS-denied environments. However, these markers are facing significant limitations in dense urban environments from adverse weather conditions, low visibility, urban clutter as well as security risks from tampering. These...

Event-based cameras that asynchronously detect changes in pixel brightness with high temporal resolution, high dynamic range, and low-power, have been very successful for robotic vision and autonomous navigation. Depth estimation from monocular or stereo event cameras is an important task which helps improve downstream robotic localization and mapping...

Background Text classification models have become increasingly prevalent in cybersecurity applications, but remain susceptible to adversarial examples (e.g., carefully crafted sentences with human-unrecognizable changes to the inputs, that are misclassified). Adversarial attacks provide profound insights into the classifiers’ vulnerabilities,...

Background Adversarial purification is a defense mechanism for safe-guarding classifiers against adversarial attacks without knowing the type of attacks or training of the classifier. These techniques analyze and eliminate adversarial perturbations from the attacked inputs, and help to restore purified samples that retain similarity to the attacked...

Background The rapid dissemination of news is an important factor for the global population to stay up to date with current events, or to make well-informed decisions in dynamic sectors like the stock market. Journalists typically include large amounts of quantitative information using data visualization to help enhance accessibility and comprehension...

Background The rapid dissemination of news is an important factor for the global population to stay up to date with current events, or to make well-informed decisions in dynamic sectors like the stock market. Journalists typically include large amounts of quantitative information using data visualization to help enhance accessibility and comprehension...

Background Commercial drone delivery systems are increasingly used, particularly in the US and in China, with over 2000 deliveries occurring in 2022. Drone delivery systems have many advantages over conventional delivery systems, including lower costs, faster deliveries, and increased energy efficiency. However, drone delivery systems can lead to increased...