From the 1 of 19 linked papers with an AI index.
19 papers
When Knowledge Changes: Metamorphic Testing of RAG Systems with Mutations
Jinhan Kim, Samuele Pasini, Paolo Tonella
The paper proposes a metamorphic testing framework that assesses how Retrieval‑Augmented Generation (RAG) systems behave when their underlying document corpora change, using a taxo…
Testing Retrieval-Augmented Generation Systems with Chunk Coverage
Jinhan Kim, Samuele Pasini, Paolo Tonella
Retrieval-Augmented Generation (RAG)-based systems\footnote{For brevity, RAG-based systems are referred to as RAG systems throughout this paper.} are increasingly deployed in high-…
Detecting Trojaned DNNs via Spectral Regression Analysis
Samuele Pasini, Jinhan Kim, Paolo Tonella
Modern DNNs are repeatedly fine-tuned to incorporate new data and functionality. This evolutionary workflow introduces a security risk when updated data cannot be fully trusted, as…
TopoMap: A Feature-based Semantic Discriminator of the Topographical Regions in the Test Input Space
Gianmarco De Vita, Nargiz Humbatova, Paolo Tonella
Testing Deep Learning (DL)-based systems is an open challenge. Although it is relatively easy to find inputs that cause a DL model to misbehave, the grouping of inputs by features…
Cross-site scripting adversarial attacks based on deep reinforcement learning: Evaluation and extension study
Samuele Pasini, Gianluca Maragliano, Jinhan Kim +1
Cross-site scripting (XSS) poses a significant threat to web application security. While Deep Learning (DL) has shown remarkable success in detecting XSS attacks, it remains vulner…
Dynamic Deception: When Pedestrians Team Up to Fool Autonomous Cars
Masoud Jamshidiyan Tehrani, Marco Gabriel, Jinhan Kim +1
Many adversarial attacks on autonomous-driving perception models fail to cause system-level failures once deployed in a full driving stack. The main reason for such ineffectiveness…